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Pestel Analysis of Open AI
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OpenAI PESTEL Analysis | Love To Read

by Shamsul

OpenAI PESTEL Analysis

In this article, we will study the OpenAI PESTEL Analysis. This analysis highlights the main environmental factors related to the company in the political, economic, sociological, technological, ecological, and legal fields.

Introduction | OpenAI PESTEL Analysis

Open AI has recently unveiled a new system based on artificial intelligence, Chat GPT 4.O; artificial intelligence has significantly developed in recent years. In 2023, the company had 375 employees, with a turnover exceeding $2 billion, thanks to very strong growth from year to year. The company specializes in the research and development of artificial intelligence worldwide. The main objective is to make everyone benefit from this technology while gradually reducing the constraints and/or threats associated with it. The application allows, among other things, to generate text and images for individuals but also on behalf of companies.

Strategic Analysis – OpenAI

OPEN AI PESTEL Analysis

Political

Many political factors come into play in the development of this company. First, there are factors that are governmental since the various governments in place have considerable influence on the research and development of artificial intelligence. In addition, international relations must be conducive to understanding because Open AI wants to surround itself with researchers from all over the world to broaden its range of skills. If there are trade disputes between countries, this necessarily affects the company. Open AI is developing thanks to private and government funding.

Economical

Open AI is also greatly impacted by various economic factors. First of all, investments at this level must be very significant because research can be costly in the artificial intelligence sector. In addition, economic growth must also be taken into account, as well as trends and people who tend to be increasingly interested in new technologies and everything they bring to their daily lives. More people who are interested in the sector also means more chances of recruiting.

In 2024, Open AI’s main competitors are Gemini, Claude, Whatsthebigdata, Data Camp, Write Sonic, and Anakin.ai.

Social

Open AI is a group that wants to develop products that can be useful to everyone. Demand changes depending on the population. For example, AI is used to develop care for older people and to help children and parents at the educational level. Research is necessary to better adapt. Cultural values ​​and the notion of ethics must also be taken into account. Consumer attitudes are changing. Mobile applications are necessary for Open AI because more and more people are on their mobiles all day or almost.

Technological | OpenAI PESTEL Analysis

Of course, Open AI is directly linked to new technologies, and research and development are more precisely related to computing power, which is necessary to process as much data as possible in a minimum of time.

Cloud computing makes it possible to significantly improve product profitability and the company’s areas of progress. Among the other artificial intelligence products, ChatGPT is for individuals and companies. GPT 4-o is the new feature; the service has been active since May 13, 2024. There are also other formulas, such as GPT 4 turbo or GPT 3.5 turbo. These applications allow you to generate text and/or images using resources found on the net.

Environmental

Such applications are very energy-intensive, so they are harmful to the environment. It is important for Open AI to find more efficient ways to reduce these energy costs. Among these means is the possibility of finding partnerships with eco-responsible companies, having efficient waste management, or using recycling operations to be ever more in line with environmental standards.

Legal

On a legal level, Open AI is subject to a large number of regulations. The company must file patents in the event of innovations, especially given the extent of competition, which has become increasingly important over the years. The notion of intellectual property and data confidentiality also comes into play. Open AI is subject to the General Data Protection Regulation (GDPR) at the European level as well as the California Consumer Privacy Act at the United States level.

Conclusion | OpenAI PESTEL Analysis

Open AI is a company that has come a long way since its creation in 2015. Today, it wants to develop across the planet to serve the interests of all and reduce anything that could lead to poor management and use of AI. There is a lot of research, and the group’s turnover is constantly increasing. This is the end of OpenAI PESTEL Analysis.

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Is The AI Utilization Equivalent to Academic Dishonesty?

Know Factors Influence The Development of Emotional Intelligence

Important Decision-Making | Enhance Competitiveness with AI

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Is The AI Utilization Equivalent to Academic Dishonesty?

by Shamsul

Is The AI Utilization Equivalent to Academic Dishonesty?

AI has crossed a considerable distance from its emerging stages. Large Language Models have integrated much knowledge regarding academia’s operational dynamics. Nevertheless, this evolution poses a challenge for numerous university lecturers and teaching aides. A pivotal query emerges amidst these deliberations: Is the AI utilization equivalent to academic dishonesty?

Given the rapidity of these transformations, the majority remains oblivious to AI’s potential, particularly within academic realms. How profound is your comprehension of AI’s current capabilities? The subsequent quiz will gauge your familiarity with this growing technology.

Self-Assessment – Veracity or Fallacy Quiz

  1. AI can now fabricate lifelike video sequences where any individual’s visage can synchronize with any audio, creating an illusion of utterances they never actually articulated.
  1. True
  2. False
  3. AI can predict precise stock market fluctuations, ensuring investors perpetually engage in lucrative transactions devoid of risks.
    • True
    • False
  4. AI systems can now supplant human adjudicators in legal tribunals, rendering judicial verdicts predicated solely on statutes and factual evidence.
    • True
    • False
  5. The Washington Post initiated the utilization of its in-house artificial intelligence mechanism, Heliograf, to report on congressional and gubernatorial elections.
    • True
    • False

Conversing or Colluding: Does ChatGPT Imperil Educational Rectitude?

AI language models have profoundly influenced how scholars and administrators perceive the contemporary educational panorama. AI writing aids can now meticulously craft coherent dissertations, scholarly papers, and imaginative compositions with remarkable eloquence. This innovation furnishes students with a potent tool for conceptualizing, structuring, and refining their written tasks.

Nonetheless, although convenient, employing AI for academic composition engenders several ethical and moral quandaries. Moreover, the veracity of AI and LLM models remains contentious. According to Khatun and Brown, ChatGPT’s precision fluctuates between 4.8% and 26%. Educators like Nicholas Tampio, a political science professor, view AI as enabling students to compile entire papers without assimilating substantive knowledge.

However, proponents perceive AI writing as a supplement, not a form of deceit. When employed transparently, AI can metamorphose into a collaborative comrade, augmenting students’ writing proficiencies instead of supplanting them.

Certain educators, such as Shital Thekdi, an analytics & operations associate professor, reframe the discourse for their students. Rather than fixating on the capabilities of ChatGPT and other LLMs, she prompts them to contemplate what they can accomplish that AI cannot.

Thekdi advocates that students envisage a future where AI might supplant numerous conventional vocations, compelling students to pivot towards alternative domains. Her approach broaches the concept of academic integrity in a distinctive light. Instead of fostering reliance on an LLM, she advocates that students identify areas where they surpass the AI agent.

Utilization of Artificial Intelegence

Utilization of AI

A Survey is done by Studybay: Metamorphosis or Menace?

The Explosive Influence of AI on Scholarly Triumph and Ethical Standards in Education

Is leveraging AI for essay composition identical to academic dishonesty? While some students denounce any form of AI integration in academic settings, others perceive it as the logical progression in educational tool evolution.

The ethical conundrum of AI exploitation surfaces only when students encounter impediments in utilizing AI for academic support. Undoubtedly, AI can be advantageous within the appropriate context. Similar to any instrument, when wielded judiciously, it can yield substantial success by empowering students to harness its capabilities effectively.

The academia’s reluctance to AI utilization education underscores a lack of cognizance regarding its disruptive potential. Even if students confront prohibitions on AI utilization, the likelihood of surreptitious AI engagement remains high.

A Survey was done by Studybay with 1,000 students aged 18 to 32 across the United States who were deeply immersed in their academic pursuits, spanning from undergraduate to doctoral studies.

Key Findings of the Study | Utilization of AI

  • 7% of respondents professed unawareness of ChatGPT.
  • 68% of students affirmed that their instructors never broached the topic of AI integration in their coursework.
  • Students delineated varied AI utilization in their academic endeavors:
  • 30% did not perceive employing ChatGPT for task generation as AI-enabled essay deception.
  • 5% advocated against the incorporation of tools like ChatGPT in educational milieus.
  • 35% routinely leverage AI tools in their academic undertakings.
  • 22% of respondents acknowledged resorting to ChatGPT or analogous AI applications to aid them in examinations and assessments.
  • Three-quarters (75%) of habitual users reported academic performance enhancements subsequent to integrating generative AI into their scholastic routines.

Additional Findings

  • OpenAI’s ChatGPT emerged as the premier AI tool for academic endeavors.
  • Disciplines such as Marketing, Business, and Psychology spearheaded the adoption of AI tools like ChatGPT for academic pursuits. Their primary objective is to scrutinize human behavior objectively and glean insights into behavioral rationales. This inclination underscores their commitment to amplifying their academic exploration.
  • Accounting majors exhibit wariness towards AI utilization, AI adoption, skeptical of its capacity to deliver the requisite precision demanded by their profession. They prefer exercising greater control over their data.
  • Medical students evince the most reluctance towards AI tool integration in their vocations due to the ethical quandaries inherent in their field. Human judgment typically underpins many of their decisions, a facet AI has yet to replicate effectively.

Echoing Student Concerns: Is Education Falling Behind in the Utilization of AI Race?

Students wield a discernible influence on AI’s role in their academic odyssey. As part of Studybay’s inquiry, several students expounded on their perspectives regarding AI’s utility in their educational sojourns.

John, a 19-year-old student, extols AI as a boon, asserting its efficacy in facilitating his studies. He lauds AI tutors for furnishing personalized assistance and identifying knowledge lacunae. His outlook on AI’s augmented presence in academia is overwhelmingly positive.

Jessica, an 18-year-old student, leverages AI as an outlining tool for her academic pursuits, extolling its time-saving attributes. She anticipates a future where AI tutors can dispense personalized instruction at an affordable cost, thereby enhancing educational accessibility and equity.

Jennifer, a 19-year-old student, evinces aversion towards heightened AI integration in classrooms, citing concerns over excessive technological reliance. She underscores the value of human interaction in academic settings and apprehends the potential erosion of the human element in education.

Lauren, a 21-year-old student, vehemently opposes AI utilization tool, contending that education’s essence lies in expanding intellectual horizons and fostering communal bonds, realms technology cannot wholly replicate. She underscores the challenges AI might encounter in presenting information in a digestible manner and preserving course content’s impact vis-a-vis human tutors.

Utilization of AI

Unveil the Reasons: Why do Students Cling to Human Guidance over AI’s Digital Wisdom in Their Studies?

Despite AI’s increasing presence in academia, a predilection for human tutors persists among students. Several rationales underpin this preference, including:

1- Personal Connection and Empathy:

Human instructors offer emotional support and comprehension that surpass AI’s current capabilities. They discern subtle cues, tailor teaching methodologies based on student responses, and proffer encouragement when necessary, fostering a conducive learning milieu.

2- Contextual Understanding:

Human educators possess a deeper comprehension of context and nuance compared to AI systems. They adeptly grasp underlying concepts, furnish real-world illustrations, and customize explanations to suit students’ specific requisites and backgrounds.

3- Critical Thinking and Creativity:

Human instructors excel in nurturing critical thinking, problem-solving acumen, and creativity in students, areas where AI falls short. They challenge students to innovate, question assumptions, and devise novel solutions, facets beyond AI’s purview.

4- Ethical and Social Considerations:

Education transcends knowledge dissemination, encompassing values, ethics, and social consciousness. Human instructors adeptly navigate these intangible realms, fostering discussions on intricate societal issues and cultivating responsible decision-making, domains alien to AI agents.

5- Trust and Accountability:

Some students harbor reservations regarding entrusting their education entirely to AI systems, preferring the accountability and transparency inherent in human guidance. Human instructors furnish personalized feedback, clarify misconceptions, and tailor teaching methodologies to individual student needs, engendering trust and accountability.

While AI continues its rapid evolution, it may necessitate numerous iterations before rivaling the instructional depth offered by human educators.

Utilization of AI

The Golden State’s Academic Dilemma: Why California’s Students Turn to Writing Services

A 2023 survey of 50,000 students unveiled California’s pronounced proclivity for using online writing services to bolster academic endeavors.

While other states like Texas, Florida, and New York exhibited elevated online academic writing service utilization, California eclipsed them all. What factors propel California students towards online scholastic aid?

Several hypotheses could elucidate this phenomenon, predicated on California’s demographic composition and educational competitiveness:

  • Academic Pressure and Competition: California’s array of prestigious universities engenders intense academic competition, compelling students to seek external writing support to excel.
  • Cost of Living and Financial Considerations: The exorbitant living costs in select Californian regions prompt students to seek writing assistance to balance academic commitments with financial exigencies.
  • Technological Adoption and Awareness: California’s tech-savvy student population.
Utilization of Artificial Intelegence

Institutional Responses | Utilization of AI

The inexorable march of AI necessitates academic institutions to acknowledge the need for a nuanced approach. While not wholeheartedly embracing this technological shift, many institutions are cautiously exploring avenues for integration. Nonetheless, a faction of educational bodies remains steadfast in resisting technology’s pervasive influence.

Forward-thinking universities are delving into permitting students to leverage AI for essay planning, with some institutions delving deeper into utilizing AI within classrooms to enhance the learning experience.

These institutions may formulate comprehensive guidelines and best practices for harnessing AI writing aids and research assistants in coursework. Emphasis will be placed on students providing substantial original input and transparently acknowledging AI’s role. Integrating AI literacy into curricula will equip students with the skills to engage AI while averting over-reliance effectively.

Despite persisting challenges surrounding AI and academic dishonesty, a pragmatic institutional stance entails embracing AI’s inevitable presence and recalibrating educational paradigms to leverage intelligence augmentation optimally. Educators are poised to assume the role of mentors, imparting ethical AI utilization while upholding quintessentially human attributes like creativity, critical thinking, and emotional intelligence.

Navigating the AI Minefield: The Evolving Challenge of Academic Integrity


Staying abreast of AI developments in academia resembles an arduous arms race. AI’s rapid evolution outpaces our capacity to keep pace, with purported AI detectors often grappling with accurately discerning AI-generated content.

Colleges must foster transparent AI utilization among students to outsmart AI’s influence. The specter of AI-enabled cheating looms only when academia bars one of the most potent tools at students’ disposal—AI. Given AI’s formidable capabilities, restricting its use seems counterintuitive.

Colleges should permit the judicious use of AI tools for academic tasks to uphold academic integrity. However, clear and unambiguous guidelines delineating permissible AI utilization are imperative. This delineation is crucial in distinguishing between students leveraging AI ethically and those resorting to AI for deceptive purposes.

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Know Factors Influence The Development of Emotional Intelligence

by Shamsul

Emotional Intelligence

Development of Emotional Intelligence

To begin, what would be your definition of emotional intelligence and its characteristics? How does it work and what sets it apart from academic intelligence?

In general, intelligence refers to an individual’s ability to adapt to their environment and the context surrounding them. Emotional intelligence (EI), therefore, represents a person’s ability to adapt to situations where emotions come into play—moments we experience in our daily lives. This involves various skills such as recognition of one’s own emotions and those of others, understanding them, and being able to control them. It also involves knowing how to use strategies to appropriately respond to others’ emotions.

Sometimes, emotional intelligence is mistakenly interpreted as excessive kindness towards others or intrusive curiosity about their emotional state. However, these behaviors often contradict EI.

Is there currently a “culturally emotionally intelligent work environment”?

Development of Emotional Intelligence

Do you have specific examples of companies that have successfully implemented one?

Work cultures can promote awareness of emotional intelligence (EI), but there is not a specific “culturally emotionally intelligent work environment” per se. However, organizations can raise awareness among their employees about emotional intelligence; many do so as part of their well-being programs. They can also provide employees with the necessary space for reflection and self-management of emotions (too much pressure can lead to a loss of emotional perspective) and allow healthy relationships to develop over time. Additionally, many organizations help their employees manage their emotional energy by offering coaching or supporting healthier emotional habits.

For example, Schneider and Google are two companies that have implemented some of these practices.

Can emotional intelligence be learned?

It depends on both cognitive and motivational factors. According to studies, mental factors, such as the ability to recognize emotions or empathy, are very difficult to develop but not impossible. Motivational factors, on the other hand, are emotional skills that are easier to work on. Emotionally intelligent behavior can be learned through coaching for managers and the formation of habits.

The first step is to raise awareness of the importance of emotional intelligence and its real impact on performance, such as understanding differences between people and the ability to make decisions or negotiate. Studies have shown through numerous tests that it would be impossible to make decisions or take action without emotions.

Next, training involves working on inhibition techniques to avoid automatic emotional responses.

Finally, new relationship management habits would be formed through behavioral anchoring techniques on the most sought-after soft skills in 2024, mainly through the mirror of emotions and social referencing (comparing your emotional response to others).

How can I help my workforce develop their emotional intelligence as a manager?

The first step is to make yourself a role model: You must work on your own emotional intelligence and self-awareness and obtain regular feedback on your work and shortcomings. Try hard to adjust your behavior for better emotional management. Moreover, it would help if you are transparent with your team about your progress.

You can also set behavioral goals with your team members and discuss progress during regular check-ins.

You can also guide your team members to coaching resources in relationship management and development that your organization can provide.

What are the advancements in the science of emotional intelligence?

Do we know how to evaluate EI (compared to IQ, for example)?

The science of emotional intelligence began before the 1960s with the concept of “social intelligence.” Cognitive science specialists further developed this concept, which Daniel Goleman popularized in the management field through the concept of emotional quotient. Finally, psychologists Peter Salovey and John Mayer gave the notion of emotional intelligence its first definition in 1990.

Today, there is a vast field of research on the subject, each using different measurement techniques of abilities, ranging from simple interviews to psychological experimentation to brain imaging tests in medicine or neuroscience.

What kind of benefits does the development of emotional intelligence provide individuals on a personal level?

And for their organization (especially for managers)?

Emotional intelligence allows individuals to navigate through various work situations, including interactions, teamwork, negotiations, and the ability to identify the emotional climate in situations such as presentations.

As mentioned earlier, EI is key to making good decisions. Team members with EI also tend to be appreciated by their peers and managers. They have the ability to manage themselves and understand others’ emotions through empathy.

We have observed that managers with EI are more likely to retain their team members by showing sincere interest and concern for them. All these factors create a better organizational climate.

The need of EI

What are your predictions for innovations and the future of emotional intelligence?

Artificial intelligence specialized in automatic facial recognition are advancing in detecting people’s emotions; this has many potential applications, for example, in negotiation, and must be closely monitored.

The concept of EI is likely to become increasingly important for employ ability as jobs are automated. Jobs that require creativity, complex thinking, and “human skills,” like understanding relationship management, are difficult to automate.

Form of intelligence:

One can define the emotional intelligence as the ability to interpret others’ emotions correctly and manage own emotions.

High emotional intelligence:

High EI is above the norm and capable of managing the complications of life and social interactions.

Human intelligence:

Emotional intelligence is a human intelligence that progresses at a different pace than logical intelligence.

Self-control:

Self-control is an important element of emotional intelligence.

 
 
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  Important Decision-Making with AI  
 
 
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Important Decision-Making | Enhance Competitiveness with AI
 
 by Shamsul   
 
 
 
 
 
Imortant Decision-Making With AI
  
Imortant Decision-Making With AI
 
All Important Decision-Making | Optimize Your Company’s Competitiveness with AI
 
In present world technological innovation is redefining existing paradigms. Artificial intelligence (AI) is emerging as a key catalyst, profoundly reshaping the way businesses operate and make important decision-making. This phenomenon transcends sectors, propelling a global transformation where AI optimizes existing processes and reinvents the business landscape by generating new opportunities and challenges.
 
Integrating AI into decision-making is not just an evolution; it is a revolution marking the advent of a new era. Companies that embrace this technology improve their operational efficiency and redefine their strategies to leverage previously inaccessible insights. AI enables the management and analysis of vast volumes of data with unparalleled speed and precision. It offers the ability to detect trends, forecast market behaviors, and personalize interactions with customers on an unimaginable scale.
 
However, adopting AI to strengthen strategic decision-making goes beyond acquiring advanced technologies. It requires redesigning traditional approaches. A deep understanding of AI’s capabilities and limitations. Moreover, a willingness to navigate the uncharted waters of ethical, regulatory, and operational questions. Companies that succeed in this rapidly evolving environment recognize AI not as a tool but as a strategic partner. It is capable of transforming the organization’s vision, culture, and structure.
 
Today, we delve into the realm of AI in strategic decision-making, exploring how businesses can leverage this revolutionary technology to enhance their competitiveness. We will address the impact of AI on decision-making processes, practical applications in various business domains, challenges to overcome for successful integration, and strategies enabling companies to position themselves advantageously in the competitive landscape shaped by AI. Get ready to discover how artificial intelligence is redefining the rules of the game in the business world and paving the way for unprecedented opportunities.
 
Decision with artificial intelligence
 
 
I- Understanding AI and Its Role in Business Strategy And Important Decision-Making
 
1- What is AI, and How is it Evolving?
 
Artificial intelligence, often envisioned as the domain of robots and autonomous machines, is much more ubiquitous and subtle in our daily lives. At its core, AI refers to systems or machines that have the capabilities of carrying out tasks that traditionally require human intelligence. This includes abilities such as learning (acquiring details and the rules for using the available information), reasoning (using available rules to reach conclusions), and self-correction.
 
Particularly in business sectors, AI has undergone remarkable evolution, propelled by exponential advances in computing power and the availability of large quantities of data. ML and deep learning algorithms, which enable machines to acquire details from data and make decisions, are at the heart of this transformation. These technologies are now employed for various functions, from predictive finance analysis to personalized e-commerce recommendations.
 
2- AI in Decision-Making: A Paradigm Shift
 
 The integration of AI into decision-making processes represents a paradigm shift for businesses. Traditionally, business decision-making relied on human data analysis, often limited by cognitive biases and the amount of data an individual can process. With its ability to process and analyze vast sets of data at unprecedented speed and precision, AI offers a powerful alternative.
 
The impact of AI on important decision-making manifests in several ways:
 
     
  1. It enables more profound and nuanced data analysis, revealing insights that traditional methods might miss.
    2.  
  2. AI can automate decisions based on complex criteria or patterns, freeing humans to focus on more strategic tasks.
    3.  
  3. AI, especially machine learning, can continuously learn and adapt, improving the quality of decision-making over time.
    4.  
 
Case studies of leading companies in finance, healthcare, and retail sectors illustrate AI’s transformative impact. For example, in the finance sector, companies use AI for credit risk modeling, while in the healthcare sector, AI aids in clinical decision-making by predicting patient outcomes.
 
By understanding the foundations of AI and its revolutionary role in business decision-making, organizations can explore integrating this technology to transform their operations, strategy, and competitive positioning. The following section will explore more concrete applications of AI in business strategic decision-making.
 
 
Important Decision-Making
 
 
II- AI in Action: Concrete Applications in Imortant Decision-Making
 
 
1- Data Analysis Optimization
 
The ability to understand and leverage data is crucial in the business world. With its capacity to quickly analyze large volumes of complex data, AI presents itself as an invaluable tool. Machine learning algorithms can discover patterns and trends that traditional analyses might not reveal.
 
For example, in the marketing domain, AI can analyze consumer behaviors and product interactions to personalize advertising campaigns and offers, thereby increasing the relevance and effectiveness of marketing initiatives. AI analyzes thousands of data points in the financial sector to identify investment trends or fraud signals.
 
Furthermore, AI systems are capable of natural language processing, allowing them to extract insights from unstructured data, such as emails, social media, and online posts, providing a comprehensive and multi-dimensional view of available data.
 
2- Automation and Operational Efficiency
 
AI has the potential to transform operational processes by automating routine tasks and enabling employees to focus on higher-value activities. For example, intelligent robots can optimize production lines in the production sector, increasing efficiency while reducing errors and costs.
 
In the services domain, AI-powered chatbots can handle customer requests faster and more personalized, improving the customer experience while freeing up staff time. Similarly, AI can automate patient record management in the healthcare sector and assist in clinical decision-making by providing recommendations based on complex medical data.
 
Integrating AI into operations can also lead to better decision-making by providing real-time visibility into various facets of the business. This allows leaders to make informed decisions based on precise and updated data.
 
3- Personalization and Customer Experience
 
AI plays a significant role in personalizing the customer experience. By analyzing customer data, AI systems can predict customer preferences and behaviors, enabling companies to offer personalized experiences on a large scale.
 
For example, in the e-commerce sector, AI can recommend specific products to each user, enhancing customer engagement and satisfaction. In banking, AI can provide personalized financial advice, strengthen customer relationships, and foster customer loyalty.
 
The ability of AI to provide personalized experiences is not limited to direct customer interactions. It can also help design products or services tailored to market segments’ specific needs and preferences, offering a significant competitive advantage.
 
By integrating AI into their decision-making processes, companies can improve operational efficiency and data-driven decision-making and revolutionize the customer experience by offering personalization on an unprecedented scale. The following section will address the challenges associated with integrating AI into business strategies and how to overcome them.
 
Competitiveness with AI
 
 
III. Navigating AI Challenges | Important Decision-Making
 
 
1- Ethical Considerations and Regulations
 
Adopting AI raises important ethical and regulatory questions that must be carefully addressed. One of the major concerns is privacy protection, mainly how personal data is collected, used, and shared. Companies must navigate a complex regulatory landscape, with laws such as GDPR in Europe imposing strict rules on personal data management.
 
Furthermore, the risk of bias in AI systems is a primary ethical concern. AI algorithms are designed and fueled by humans, so they can inadvertently incorporate existing biases. This can lead to discriminatory decisions, affecting fairness and inclusion. Companies must invest in strategies to identify and correct biases in AI systems, ensuring that decisions made by AI are fair and equitable.
 
Transparency is also crucial. Stakeholders, including customers and employees, must understand how AI is used in decision-making processes. This requires developing explainable AI systems where decisions can be traced and justified.
 
2- Technical Challenges and Integration
 
The integration of AI into existing systems presents significant technical challenges. Companies must make sure that their IT infrastructure can support advanced AI solutions. This may require substantial investments in hardware, software, and technical skills.
 
Data quality is another major challenge. AI systems heavily depend on the availability of high-quality data. Only accurate, complete, and updated data can lead to good AI performance and precise decisions. Companies must invest in data management strategies, ensuring that data is accurate, up-to-date, and accessible.
 
Organizational change is also a challenge. Integrating AI may require transforming business processes, operational models, and organizational culture. Employees must be trained to work with AI, understand how to interpret its insights, and make informed decisions in collaboration with it. This requires strong leadership and clear communication about AI’s vision, goals, and benefits.
 
By proactively addressing these challenges, companies can maximize the potential of AI to improve decision-making and strengthen their competitiveness. The following section will focus on strategies and well-established practices for successfully integrating AI into business processes.
 
AI for Decision-Making
 
IV- Preparing for the Future with AI For Important Decision-Making
 
Preparing for the future with AI is a strategic and deliberate process involving adopting new technologies while redefining operational models and organizational cultures. Here are the key steps and considerations for companies leveraging AI to enhance competitiveness.
 
1- Establishing a Roadmap for AI Integration
 
The first step is establishing a roadmap for AI integration aligned with the company’s strategic goals. This roadmap should include:
 
Assessment of needs and capabilities: Identify areas where AI can significantly impact the business and evaluate the company’s current capacity to adopt AI technologies.
 
Defining objectives: Setting clear and measurable goals for AI integration, ensuring they are aligned with the company’s overall strategic objectives.
 
Resource planning: Determining the necessary resources, including budget, skills, and technological infrastructure, to implement AI solutions.
 
Implementation timeline: Establishing a timeline for implementing AI initiatives, with clear milestones and mechanisms for tracking progress.
 
2- Importance of Strategic Alignment and Informed Leadership
 
Successful integration of AI requires strategic alignment and enlightened leadership to guide the organization through transformation. This involves:
 
Leadership Engagement: The leadership must be fully committed and visible in supporting the AI initiative and communicating the importance of AI for the company’s future.
 
Culture of Innovation: Developing a culture that values and encourages innovation, continuous learning, and adaptability is crucial for successfully integrating rapidly evolving technologies like AI.
 
Training and Skill Development: Investing in employee training and skill development to work with AI, including understanding AI principles, interpreting AI insights, and making collaborative decisions with AI.
 
3- Strategic Partnerships and Collaborations
 
Strategic partnerships have a crucial role in accelerating AI adoption. Companies can leverage partners’ knowledge, technologies, and innovations to enhance their AI capabilities. This may include:
 
Collaboration with AI startups and research centers: These collaborations can provide access to cutting-edge innovations and specialized AI talent.
 
Partnerships with technology providers: Working with established technology providers can help integrate advanced AI solutions while ensuring security, reliability, and compliance.
 
Networking and knowledge sharing: Participating in industry networks and forums can provide valuable opportunities for knowledge sharing and collaboration on best practices and challenges related to AI.
 
By following these steps and considering these considerations, companies can not only adapt to the changes brought by AI. Moreover, they actively shape the future of their industry, leveraging AI to improve decision-making and drive innovation. It will help to maintain a competitive advantage in an ever-evolving business landscape.
 
Decision with the help of AI
 
 
Key Takeaways | Important Decision-Making With AI
 
Adopting and integrating artificial intelligence (AI) into important decision-making are no longer futuristic options. It is current imperatives for companies aspiring to a leadership position in their industry. AI offers unprecedented opportunities to transform operations, engage customers in a personalized manner. Also, make informed decisions based on in-depth data analysis. However, navigating the AI landscape requires more than technological adoption; it demands strategic, cultural, and operational transformation.
 
Proactive and visionary companies that embrace this technology respond to trends and shape their industry’s future. By establishing a clear roadmap for AI integration, aligning this integration with their strategic objectives, and cultivating a culture of innovation and adaptability, these companies lay the foundations for sustainable success.
 
However, it is also crucial to recognize and navigate the ethical, regulatory, and operational challenges associated with AI. By addressing these challenges diligently and adopting responsible and transparent practices, companies can minimize risks and strengthen their credibility and trust relationships with customers, employees, and other stakeholders.
 
Finally, strategic partnerships and collaborations will be vital in accelerating AI adoption. By leveraging knowledge, innovations, and specialized skills through collaborations, companies can overcome obstacles to AI adoption and accelerate their transformation.
 
The future belongs to those who understand the potential of AI to redefine important decision-making. Act boldly, and have the foresight to integrate this transformative technology fully. By embracing AI, companies can successfully navigate the current business landscape. They can shape a future where artificial intelligence and human intelligence work synergistically to create an unparalleled competitive advantage.
 
 
 
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Know the Prominent Trends in Digital Marketing for 2024
 
 by Shamsul   
 
 
 
 
 
Know the Prominent Trends in Digital Marketing for 2024 
  
Digital Marketing Trend for 2024 
 
Significant marketing trends in 2024 are shaping the digital marketing landscape, influencing how businesses communicate with their audience. These trends promise to redefine brand strategies and impact their interactions with customers. Let’s explore the most prominent trends in digital marketing for 2024:
  
1- Artificial Intelligence (AI) and Personalized Marketing
 
AI is revolutionizing personalized marketing in 2024, offering powerful tools for engaging consumers more meaningfully. This technology enables a better understanding of customers and opens the door to hyper-personalized and predictive customer experiences. Integrated AI technologies in marketing strategies go beyond content personalization, encompassing chatbots, predictive analytics, and real-time personalization.
 
2- The Rise of Social Commerce
 
Social commerce has become an essential pillar of digital marketing, transforming social platforms into integral e-commerce spaces. Brands are leveraging social networks’ interactive and engaging nature to create immersive shopping experiences, utilizing features such as influencer marketing, interactive content, and direct purchasing functionalities.
 
3- Augmented Reality (AR) and User Experience
 
AR has surfaced as a revolutionary tool in digital marketing, particularly in enhancing the online shopping experience. It offers consumers a more immersive and interactive shopping experience, allowing them to visualize products realistically before purchasing. This technology has eliminated many uncertainties associated with online shopping, enhancing customer engagement and confidence in products.
 
4- Sustainability and Ethical Marketing
 
In 2024, sustainability and ethics have become central pillars of digital marketing. Brands integrate transparency, responsible business practices, and active support for social and environmental causes into their marketing strategies. This goes beyond promoting eco-friendly products, encompassing honest communication, fair business practices, and active support for social and environmental causes.
 
5- Predictive Marketing | Digital Marketing
 
Predictive marketing has become central in digital strategies, using available data, algorithms, and machine learning techniques to anticipate future consumer needs, preferences, and behaviors. This approach helps optimize inventories, personalize marketing messages, and increase conversion rates by anticipating customer needs before they are explicitly expressed.
 
These trends highlight a transition to a more intuitive, interactive, and integrated marketing approach. Businesses that embrace these developments are actively shaping the future of digital marketing. The key to success depends in anticipating and innovating while maintaining authentic and ethical engagement with customers and society. The future of digital marketing is full of possibilities for those ready to embrace these changes and create experiences that truly resonate with today’s and tomorrow’s consumers.
 
This evolution marks a significant change in how businesses interact with their audience. By analyzing complex data sets, from online interactions to purchasing trends and customer feedback, predictive marketing allows companies to understand what consumers want today and what they will desire tomorrow. This approach helps optimize inventories, personalize marketing messages, and increase conversion rates by anticipating customer needs before they are explicitly expressed.
  
 
 
 
The Future of Predictive Marketing | Digital Marketing
 
In 2024, predictive marketing has evolved to include various innovative techniques and tools:
 
Advanced Segmentation: Companies use predictive models to segment their audience more precisely, based on anticipated behaviors and preferences rather than past actions.
 
Prediction-based Personalization: Instead of personalizing content based on past actions, predictive marketing allows brands to personalize real-time experiences using predictions about what customers want next.
 
Price and Promotion Optimization: Companies use predictive models to determine the most effective prices and promotions for different customer segments, maximizing revenue while meeting consumer expectations.
 
Trend Forecasting: Predictive tools analyze market data to identify emerging trends, allowing companies to stay ahead of the competition.
 
Predictive marketing in 2024 is not just about predicting sales or consumer behaviors; it represents a complete transformation in how companies plan and execute their marketing strategies. By anticipating consumer needs and desires, companies can create more engaging, relevant, and satisfying experiences, increasing customer loyalty and sustainable business growth.
  
 
 
 
Key Takeaways | Digital Marketing
 
As we conclude our exploration of the significant trends in digital marketing in 2024, a central theme emerges: the digital marketing era is now dominated by advanced technologies, extensive personalization, and increasing social responsibility. Integrating artificial intelligence into personalized marketing, the rise of social commerce, the impact of augmented reality on the user experience, the commitment to sustainability and ethical marketing, and the revolution of predictive marketing are not isolated trends. Together, they form a new reality where brands must operate to remain relevant, competitive, and prosperous.
 
These trends underscore a transition to a more intuitive, interactive, and integrated marketing approach. Businesses that embrace these developments are meeting current consumer expectations and actively shaping the future of digital marketing. The key to success depends in anticipating and innovating while maintaining authentic and ethical engagement with customers and society.
 
While technology is a powerful driver of this transformation, it is only one aspect of the equation. Humanizing technology, creating meaningful connections with customers, and adopting responsible business practices are equally essential. Brands that succeed in 2024 understand and integrate these values into their DNA, creating effective marketing campaigns and lasting relationships with their customers.
 
 
 
 
 
The trends of 2024 show us that digital marketing continues to evolve rapidly, challenging businesses to adapt, innovate, and embrace a holistic vision. Those who rise to this challenge by focusing not only on technological advancements but also on ethics, sustainability, and the customer experience are well-positioned to excel in this dynamic and demanding environment. The future of digital marketing is full of possibilities for those ready to embrace these changes and create experiences that truly resonate with today’s and tomorrow’s consumers.
 
 
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What is the Most Striking Trend in Digital Marketing in 2024?
 
 by Shamsul   
 
 
 
 
 
 
What is the Most Striking Trend in Digital Marketing in 2024?
  
Digital Marketing in 2024?
 
In a world where technology and consumer behaviors are evolving dizzyingly, digital marketing continues to transform and adapt. 2024 this dynamic will reach a new peak, significantly shaping how businesses communicate with their audience. This article will detail the most striking trend in digital marketing in 2024, which promises to redefine brand strategies and influence customer interactions.
 
Digital marketing, once a niche in companies’ marketing arsenal, has become a central, even essential, element for reaching, engaging, and converting the modern consumer. With the emergence of cutting-edge technologies such as artificial intelligence (AI), augmented reality (AR), and predictive analytics, the possibilities have multiplied, enabling more targeted, interactive, and personalized campaigns than ever before.
 
But what is this predominant trend that is emerging for 2024? Is it the widespread adoption of AI for unprecedented-scale personalization or the emergence of social commerce that redefines online shopping? Is it the growing influence of sustainability and ethics in consumer purchasing decisions or the increasingly crucial role of AR in the user experience? In this article, we will delve into these questions, closely examining the trend that, in our opinion, will have the most impact on the digital marketing landscape in 2024.
 
Digital Marketing in 2024?
 
It’s not just a matter of following a trend; it’s about understanding how these developments can be strategically integrated into marketing campaigns to create memorable experiences, build lasting loyalty, and drive business growth. We will unveil and analyze this dominant trend based on in-depth research, case studies, and expert forecasts, providing a valuable guide for marketers and decision-makers looking to stay at the forefront of innovation in an ever-changing landscape.
 
     
  1. Artificial Intelligence (AI) and Personalized Marketing
    2.  
  2.  The evolution of personalization through AI:
    3.  
  3.  Personalized marketing is not a new concept, but in 2024, it will reach an unprecedented level of sophistication thanks to artificial intelligence. AI transforms how companies interact with customers, enabling personalization beyond traditional methods. endousAI’s ability to analyze vast amounts of data in real time and derive valuable insights is at the heart of this revolution. These insights allow marketers to create tailored messages and offers that resonate more significantly with each individual.
    4.  
 
In the world of digital marketing in 2024, AI enables content personalization and predicts consumer behavior. Algorithms can anticipate users’ needs and desires before expressing them, offering anticipatory and proactive shopping experiences. For example, an e-commerce site can suggest products based on the user’s browsing history and broader behavioral data, such as purchasing trends in similar categories or preferences expressed on social networks.
  
AI Technologies in Marketing:
 
AI technologies integrated into marketing strategies in 2024 are not limited to content personalization. They also encompass:
 
Chatbots and virtual assistants: These tools are becoming increasingly sophisticated and capable of engaging in natural and helpful customer conversations. They can answer questions, provide personalized recommendations, and handle complex transactions.
 
Predictive analytics: Predictive analytics tools help businesses anticipate market trends, changes in consumer behavior, and sales opportunities. Companies can adjust their real-time strategies to maximize efficiency by using predictive models.
 
Real-time personalization: AI systems can dynamically adjust the content displayed on a website or an application based on the user’s real-time behavior. This means that each interaction is unique and tailored to the user’s specific needs at that moment.
 
AI is revolutionizing personalized marketing in 2024, offering businesses powerful tools to engage consumers more significantly. This technology enables a better understanding of customers and opens the door to hyper-personalized and predictive customer experiences. Companies that successfully adopt and integrate these AI tools into their marketing strategy are well-positioned to stand out in an increasingly competitive market.
  
Digital Marketing
 
 
 
The Rise of Social Commerce | Digital Marketing in 2024?
 
The Growing Importance of Social Networks:
 
In 2024, social commerce represents an essential pillar of digital marketing. This phenomenon goes beyond simply using social networks as communication channels; it transforms these platforms into actual e-commerce spaces. Social networks like Facebook, Instagram, and TikTok have become integral points of sale, allowing users to purchase products directly through their interfaces. This evolution marks a significant change in the consumer’s purchasing journey: product discovery, evaluation, and purchase can now occur within the same digital ecosystem.
 
Social commerce benefits from the inherently interactive and engaging nature of social networks, capitalizing on the power of peer recommendations and content creator influences. Brands use these platforms to create immersive and interactive shopping experiences, utilizing features such as stories, live streams, and integrated shops. This reduces the purchasing journey and makes it smoother and more enjoyable for consumers.
  
Effective Social Commerce Strategies | Digital Marketing in 2024?
 
Businesses that succeed in social commerce in 2024 adopt strategies that maximize engagement and conversion on these platforms:
 
Influencer Marketing: 
 
Influencers play an important role in social commerce. They not only promote products but also create stories and experiences around them, making the act of purchasing more appealing and personal. Brands collaborate closely with influencers to reach targeted audiences and generate authenticity.
 
Interactive and Engaging Content: 
 
Brands invest in creating interactive content—such as videos, quizzes, and polls—to engage consumers. This content, often playful and informative, encourages direct interaction with products.
 
Integration of Direct Purchasing Features: 
 
Using “Buy Now” buttons or product tags in posts allows consumers to purchase in a few clicks. This simplicity and speed of purchase enhance the user experience and increase conversion rates.
 
In 2024, social commerce is more than just a trend; it has become essential to any digital marketing strategy. Its integrated and user-centered approach offers brands exciting new opportunities to connect with their audience and generate sales. Companies that understand and effectively leverage the nuances of social commerce are better positioned to thrive in the ever-evolving digital ecosystem.
  
AR Technology
 
 
 
Augmented Reality (AR) and User Experience | Digital Marketing
 
The Impact of AR on Online Shopping:
 
In 2024, augmented reality (AR) has emerged as a revolutionary tool in digital marketing, particularly in enhancing the online shopping experience. AR provides consumers with a more immersive and collaborative shopping experience, allowing them to visualize products realistically before purchasing. This technology has eliminated many uncertainties associated with online shopping, such as product fit or appearance, by enabling customers to see virtually how these products fit into their lives.
 
Brands use AR to offer 3D product visualizations, virtual trials, and interactive simulations. For example, consumers can virtually check on clothing in the fashion sector to see how it fits them. In the furniture industry, they can practically place products in their living space to assess fit and style. These experiences not only enhance customer engagement but also increase confidence in products, which can lead to a significant reduction in returns and improved customer satisfaction.
  
Innovative Use Cases of AR | Digital Marketing in 2024?
 
In 2024, AR is not limited to a few sectors; it extends to a multitude of industries and applications:
 
Virtual trials in beauty and fashion: Beauty and fashion brands use AR to offer virtual trials of makeup, hairstyles, or clothing, allowing customers to see how these products suit them before purchasing.
 
Product visualization in the furniture sector: Furniture and interior decoration companies use AR to help customers visualize how furniture and accessories will fit into their personal space.
 
Education and product demonstration: In sectors such as electronics and household appliances, AR shows how products work and provide interactive information about their features and benefits.
 
AR transforms the online shopping experience by making the process more interactive, informative, and engaging. It not only overcomes traditional barriers of e-commerce but also paves the way for more prosperous and personalized customer experiences. In 2024, brands that effectively integrate AR into their digital marketing strategy position themselves as innovative leaders, capable of meeting the growing expectations of consumers for more immersive and interactive shopping experiences.
 
     
  1. Sustainability and Ethical Marketing
    2.  
  2.  The shift towards more responsible marketing:
    3.  
  3.  In 2024, sustainability and ethics have become central pillars of digital marketing. Consumers, increasingly aware of environmental and social issues, demand quality products from brands and a commitment to ethical and sustainable practices. This trend has led companies to rethink their marketing strategies to integrate transparency, accountability, and social engagement as fundamental elements.
    4.  
 
Ethical marketing in 2024 goes beyond promoting eco-friendly products; it encompasses honest communication, fair business practices, and active support for social and environmental causes. Companies that succeed in this area go beyond superficial sustainability statements to integrate ethical practices into all operations, from the supply chain to advertising.
  
Digital Marketing
 
 
 
Green Marketing Practices:
 
Green marketing strategies in 2024 are diverse and innovative, ranging from using sustainable materials in packaging to implementing environmental awareness campaigns:
 
Transparency and authenticity: 
 
Consumers seek authenticity and transparency in marketing messages. Successful brands openly communicate about their sustainable practices, including challenges and progress.
 
Sustainable collaborations and partnerships: 
 
Many companies collaborate with environmental organizations or social initiatives to develop sustainable products or support ethical causes. These partnerships enhance credibility and commitment to sustainability.
 
Engaged campaigns: 
 
Marketing campaigns highlight messages focused on sustainability and ethics. They sell a product and tell a story about the positive impact of consumption choices.
 
Innovation in products and services: 
 
Companies invest in research and development to create products that respect the environment and provide added value in terms of sustainability and performance.
 
In 2024, ethical and sustainable marketing is not just a sales pitch but a fundamental requirement to gain and maintain consumer trust. Brands that sincerely adopt these principles and integrate them into their marketing strategies position themselves as leaders in their industries and significantly contribute to a more sustainable and responsible future.
 
     
  1. Predictive Marketing
    2.  
  2.  The revolution of predictive marketing:
    3.  
  3.  Predictive marketing will be central to companies’ digital strategies in 2024. This approach uses data, algorithms, and machine learning techniques to anticipate consumers’ future needs, preferences, and behaviors. Instead of reacting to trends, brands can now predict and act proactively, creating more effective and personalized marketing campaigns.
    4.  
 
This evolution marks a significant change in how companies interact with their audience. By analyzing complex data sets, from online interactions to purchasing trends and customer feedback, predictive marketing enables companies to understand what consumers want today and what they will desire tomorrow. This approach helps optimize inventories, personalize marketing messages, and increase conversion rates by anticipating customer needs before they are explicitly expressed.
  
Digital Marketing
 
 
 
 
The Future of Predictive Marketing:
 
In 2024, predictive marketing has expanded to include various innovative techniques and tools:
 
Advanced segmentation: 
 
Companies use predictive models to segment their audience more precisely, based on anticipated behaviors and preferences rather than past actions.
 
Prediction-based personalization: 
 
Instead of personalizing content based on past actions, predictive marketing allows brands to personalize real-time experiences using predictions about what customers want next.
 
Price and promotion optimization: 
 
Companies use predictive models to determine the most effective prices and promotions for different customer segments, maximizing revenue while meeting consumer expectations.
 
Trend forecasting: 
 
Predictive tools analyze market data to identify emerging trends, allowing companies to stay ahead of the competition.
 
Predictive marketing in 2024 is not just about predicting sales or consumer behaviors. It represents a complete transformation in how companies plan and execute their marketing strategies. By anticipating consumer needs and desires, companies can create more engaging, relevant, and satisfying experiences, increasing customer loyalty and sustainable business growth.
  
Key Takeaways | Digital Marketing
 
As we conclude our exploration of the significant trends in digital marketing in 2024, a central theme emerges: the digital marketing era is now dominated by advanced technologies, extensive personalization, and increasing social responsibility. Integrating artificial intelligence into personalized marketing, the rise of social commerce, the impact of augmented reality on user experience, commitment to sustainability and ethical marketing, and the revolution of predictive marketing are not isolated trends. Together, they form a new reality where brands must operate to remain relevant, competitive, and prosperous.
 
These trends underscore transitioning to more intuitive, interactive, and integrated marketing. Companies that embrace these developments are not only meeting consumer expectations; they are actively shaping the future of digital marketing. Success depends on anticipating and innovating while maintaining authentic and ethical engagement with customers and society.
 
Although a powerful driver of this transformation, technology is only one aspect of the equation. Humanizing technology, creating meaningful connections with customers, and adopting responsible business practices are equally essential. The brands that succeed in 2024 understand and integrate these values into their DNA, creating effective marketing campaigns and lasting relationships with their customers.
 
The trends of 2024 show us that digital marketing continues to evolve rapidly. It is a challenging businesses to adapt, innovate, and embrace a holistic vision. Those who rise to this challenge by focusing not only on technological advancements but also on ethics, sustainability, and the customer experience are well-positioned to excel in this dynamic and demanding environment. The future of digital marketing is full of possibilities for those ready to embrace these changes. Also, create experiences that truly resonate with today’s and tomorrow’s consumers.
 
 
 
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Do you want help writing quality content, driving traffic to your website, and boosting conversions? You can contact me through my Freelancer.com profile. I always prefer to work through my Freelancer.com profile for smooth functioning. Here, you pay safely and securely.
 
 
Read More:
 
WHAT IS DIGITAL MARKETING STRATEGY AND ITS IMPORTANT STEPS
 
DIGITAL MARKETING IS BACKBONE OF THE BUSINESSES
 
KNOW THE ADVANTAGES OF DIGITAL MARKETING FOR BUSINESSES AND STUDENTS
 
 
 
 
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Know the Use AI to Enhance Your Company’s Competitiveness
 
 by Shamsul   
 
 
 
 
 
 
Enhance Your Company’s Competitiveness with AI
 
 
  
In a world where technological innovation is redefining existing paradigms, artificial intelligence (AI) is emerging as a key catalyst, profoundly reshaping the way businesses operate and make strategic decisions. This phenomenon transcends sectors, propelling a global transformation where AI optimizes existing processes and reinvents the business landscape by generating new opportunities and challenges.
 
Integrating AI into decision-making is not just an evolution but a revolution that marks the dawn of a new era. Companies that embrace this technology are enhancing their operational efficiency and redefining their strategies to leverage previously inaccessible insights. It enables the management and analysis of vast amounts of available data with unparalleled speed and precision and offers the ability to detect trends, forecast market behaviors, and personalize customer interactions on an unimaginable scale and depth.
 
However, adopting it to strengthen strategic decision-making goes beyond simply acquiring advanced technologies. It requires a redesign of traditional approaches, an indepth understanding of the capabilities and limitations, and a willingness to navigate the uncharted waters of ethical, regulatory, and operational issues. Companies that succeed in this rapidly evolving environment recognize AI not as a tool but as a strategic partner capable of transforming the organization’s vision, culture, and structure.
 
Today, we delve into the realm of AI in strategic decision-making, exploring how businesses can leverage this revolutionary technology to enhance their competitiveness. We will address the impact of AI on decision-making processes, practical applications in various business domains, challenges to overcome for successful integration, and strategies for positioning companies advantageously in the competitive landscape shaped by Artificial intelligence. Get ready to discover how artificial intelligence is redefining the rules of the game in the business world and paving the way for unprecedented opportunities.
  
[I] Understanding AI and Its Role in Business Strategy
 
 
 
1- What is AI, and How is it Evolving?
 
Artificial intelligence, often envisioned as the domain of robots and autonomous machines, is much more universal and subtler in our daily lives. At its core, It refers to systems or machines capable of performing jobs that traditionally require human intelligence. This includes capabilities such as learning (acquiring information and prevailing rules for using these information), reasoning (definite conclusions), and self-correction.
 
Particularly in business sectors, Artificial intelligence has undergone remarkable evolution, propelled by exponential advances in computing power and the availability of large quantities of data. Machine learning and deep learning algorithms, which enable machines to learn from available data and make decisions, are at the heart of this transformation. These technologies are now employed for a range of functions, from predictive analytics in finance to personalized recommendations in e-commerce.
 
2- AI in Decision-Making: A Paradigm Shift
 
The integration of Artificial intelligence into decision-making processes represents a paradigm shift for businesses. Traditionally, business decision-making relied on human data analysis, often limited by cognitive biases and the amount of data an individual can process. With its ability to process and analyze vast sets of data at unprecedented speed and accuracy, AI offers a powerful alternative.
 
The Impact of AI on Decision-Making Manifests In Several Ways:
 
     
  1. It enables more profound and nuanced data analysis, revealing insights that traditional methods might miss.
    2.  
  2. It can automate decisions based on complex criteria or patterns, thereby freeing humans to focus on more strategic tasks.
    3.  
  3. Artificial intelligence, especially machine learning, can continuously learn and adapt, improving the quality of decision-making over time.
    4.  
 
Case studies of leading companies in finance, healthcare, and retail sectors illustrate AI’s transformative impact. For example, in the finance domain, companies use Artificial intelligence for credit risk modeling, while in the healthcare sector, It aids in clinical decision-making by predicting patient outcomes.
 
By understanding the foundations of Artificial intelligence and its revolutionary role in business decision-making, organizations can explore integrating this technology to transform their operations, strategy, and competitive positioning. The following section will explore more concrete applications of AI in business strategic decision-making.
  
AI
 
 
 
[II] AI in Action: Concrete Applications in Decision-Making
 
1- Optimizing Data Analysis
 
The ability to understand and leverage data is crucial in the business world. With its capability to rapidly analyze large volumes of complex data, AI presents itself as an invaluable tool. Machine learning algorithms can determine patterns and trends that traditional analyses might not reveal.
 
For example, in the marketing domain, AI can analyze consumer behaviors and product interactions to personalize advertising campaigns and offers, thereby increasing the relevance and effectiveness of marketing initiatives. AI analyzes thousands of data points in the financial sector to identify investment trends or fraud signals.
 
Furthermore, AI systems are capable of natural language processing, allowing them to extract insights from unstructured data such as emails, social media, and online posts, providing a comprehensive and multi-dimensional view of available data.
 
2- Automation and Operational Efficiency
 
AI has the potential to transform operational processes by automating repetitive tasks and employing employees to focus on higher-value activities. For example, intelligent robots can optimize production lines in the production sector, increasing efficiency while reducing errors and costs.
 
In the services domain, AI-powered chatbots can handle customer queries faster and in a personalized manner, improving the customer experience while freeing up time for staff. Similarly, AI can automate patient record management in the healthcare sector and assist in clinical decision-making by providing recommendations based on complex medical data.
 
Integrating AI into operations can also lead to better decision-making by providing real-time visibility into various facets of the business. This allows leaders to make informed decisions based on accurate and updated data.
 
3- Personalization and Customer Experience
 
AI plays a significant role in personalizing the customer experience. By analyzing customer data, AI systems can predict customer preferences and behaviors, enabling companies to offer personalized experiences on a large scale.
 
For example, in the e-commerce sector, AI can recommend specific products to each user, enhancing customer engagement and satisfaction. In banking, It can provide personalized financial advice, strengthen customer relationships, and foster customer loyalty.
 
The ability of Artificial intelligence to provide personalized experiences is broader than direct interactions with customers. It can also help design products or services tailored to market segments’ specific needs and preferences, offering a significant competitive advantage.
 
By integrating into their decision-making processes, companies can improve operational efficiency and data-driven decision-making and revolutionize the customer experience by offering personalization on an unprecedented scale. The following section will address the challenges associated with integrating AI into business strategies and how to overcome th
  
AI
 
 
 
[III] Navigating AI Challenges
 
1- Ethical Considerations and Regulations
 
Adopting AI raises important ethical and regulatory questions that must be carefully addressed. One of the major concerns is privacy protection, mainly how personal data is collected, used, and shared. Companies must navigate a complex regulatory landscape, with laws such as GDPR in Europe imposing strict rules on personal data management.
 
Furthermore, the risk of bias in AI systems is a primary ethical concern. Its algorithms are designed and fueled by humans, which can inadvertently incorporate existing biases. This can lead to discriminatory decisions, affecting fairness and inclusion. Companies must invest in strategies to identify and correct biases in AI systems, ensuring that decisions made by Artificial intelligence are fair and equitable.
 
Transparency is also crucial. Stakeholders, including customers and employees, must understand how it is used in decision-making processes. This requires developing explainable AI systems where decisions can be traced and justified.
 
2- Technical Challenges and Integration
 
The integration of AI into existing systems presents significant technical challenges. Companies must confirm that their IT infrastructure can support advanced solutions. This may require substantial investments in hardware, software, and technical skills.
 
Data quality is another major challenge. This systems heavily depend on the availability of high-quality data. Only accurate, complete, and updated data can lead to good AI performance and precise decisions. Companies must invest in data management strategies, ensuring that data is accurate, up-to-date, and accessible.
 
Organizational change is also a challenge. Integrating AI may require transforming business processes, operational models, and organizational culture. Employees must be trained to work with Artificial intelligence, understand how to interpret its insights, and make informed decisions in collaboration with it. This requires strong leadership and clear communication about AI’s vision, goals, and benefits.
 
By proactively addressing these challenges, companies can maximize the potential of AI to improve decision-making and strengthen their competitiveness. The following section will focus on strategies and best practices for adequately integrating AI into business processes.
  
AI
 
 
 
[IV] Preparing for the Future with AI
 
Preparing for the future with AI is a strategic and deliberate process involving adopting new technologies while redefining operational models and organizational cultures. Here are the key steps and considerations for companies leveraging AI to enhance competitiveness.
 
1- Establishing a Roadmap for AI Integration
 
The first step is establishing a roadmap for AI integration aligned with the company’s strategic goals. This roadmap should include:
 
Assessment of needs and capabilities: Identify areas where AI can significantly impact the business and evaluate the company’s current capacity to adopt Artificial intelligence technologies.
 
Defining objectives: Setting clear and measurable goals for AI integration, ensuring they are aligned with the company’s overall strategic goals.
 
Resource planning: Determining the necessary resources, including budget, skills, and technological infrastructure, to implement Artificial intelligence solutions.
 
Implementation timeline: Establishing a timeline for implementing AI initiatives, with clear milestones and mechanisms for tracking progress.
 
2- Importance of Strategic Alignment and Informed Leadership
 
Successful integration of AI requires strategic alignment and informed leadership to guide the organization through the transformation. This involves:
 
Executive commitment: Leadership must be fully engaged and visible
 
3- Strategic Partnerships and Collaborations
 
Strategic partnerships could play a crucial role in accelerating the adoption of AI. Companies can leverage partners’ knowledge, technologies, and innovations to enhance their Artificial intelligence capabilities. This may include:
 
Collaboration with AI startups and research centers: These collaborations can provide access to cutting-edge innovations and specialized AI talent.
 
Partnerships with technology providers: Working with established technology providers can help integrate advanced AI solutions while ensuring security, reliability, and compliance.
 
Networking and knowledge sharing: Engaging in industry networks and forums can provide valuable opportunities for knowledge sharing and collaboration on best practices and challenges related to Artificial intelligence.
 
By following these steps and considering these considerations, companies can not only adapt to the changes brought about by AI but also actively shape the future of their industry, leveraging Artificial intelligenceI to improve decision-making, use innovation, and maintain a competitive advantage in an ever-evolving business landscape.
 
Key Takeaways
 
Adopting and integrating artificial intelligence into strategic decision-making are no longer futuristic options but current imperatives for companies aspiring to leadership positions in their industry. AI offers unprecedented opportunities to transform operations, engage customers in a personalized manner, and make informed decisions based on in-depth data analysis. However, navigating the Artificial intelligence landscape requires more than technological adoption; it demands strategic, cultural, and operational transformation.
 
Proactive and visionary companies that embrace this technology are not just responding to trends; they are shaping the future of their industry. By establishing a clear roadmap for AI integration, aligning this integration with their strategic goals, and fostering a culture of innovation and adaptability, these companies are laying the foundations for sustainable success.
 
However, it is also crucial to recognize and navigate the ethical, regulatory, and operational challenges associated with AI. By addressing these challenges diligently and adopting responsible and transparent practices, companies can minimize risks and strengthen their credibility and trust relationships with customers, employees, and other stakeholders.
 
Finally, strategic partnerships and collaborations will play a key role in accelerating the adoption of Artificial intelligence. By leveraging knowledge, innovations, and specialized skills through collaborations, companies can overcome obstacles to Artificial intelligence adoption and accelerate their transformation.
 
The future belongs to those who understand the potential of AI to redefine strategic decision-making and who act boldly and foresight fully to integrate this transformative technology. By embracing AI, companies can successfully navigate the current business landscape and shape a future where artificial intelligence and human intelligence work synergistically to create an unparalleled competitive advantage.
 
 
 
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  Emotional Intelligence (EI)  
 
 
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How To Develop Emotional Intelligence in Your Company?
 
 by Shamsul   
 
 
 
 
 
 
How To Develop Emotional Intelligence in Your Company?
  
Emotional Intelligence (EI)
 
To begin with, what would be your definition of emotional intelligence and its characteristics? How does it work, and what sets it apart from academic intelligence?
 
Intelligence generally refers to an individual’s ability to adapt to their environment and context. Therefore, emotional intelligence (EI) refers to a person’s ability to adapt to situations where emotions come into play, moments that we experience daily. This encompasses numerous skills, such as the ability to acknowledge one’s feelings and those of others, understand them, and control them. It also involves knowing how to use strategies to react appropriately to other people’s emotions.
 
Sometimes, emotional intelligence is mistakenly interpreted as excessive kindness towards others or invasive curiosity about one’s emotional state. However, these behaviors are often the opposite of EI.
 
Is there a “culturally emotionally intelligent work environment” today? Do you have specific examples of companies that have succeeded in implementing one?
 
Work cultures can promote emotional intelligence (EI) awareness, but there is no specific “culturally emotionally intelligent work environment.” However, organizations can raise awareness among their employees about emotional intelligence; many do so as part of their well-being programs. They can also provide employees with the necessary space for reflection and self-management of emotions (too much pressure can lead to a loss of emotional perspective) and allow healthy relationships to develop over time. Additionally, many organizations help employees manage their emotional energy by coaching or supporting healthier emotional habits.
 
For example, Schneider and Google are two companies that have implemented some of these practices.
 
 
Can Emotional Intelligence Be Learned Today? How Do You Develop EI, And How Do You Encourage It?
 
EI depends collectively on both cognitive and motivational factors. According to studies, mental factors, such as the ability to recognize emotions or empathy, are complicated to develop but possible. Motivational factors, on the other hand, are emotional skills that are simpler to work on. Emotionally intelligent behavior can be learned through coaching for managers and the formation of habits.
 
First, it is essential to raise awareness of the gravity of emotional intelligence and its impact on performance, such as understanding differences between people and the ability to make decisions or negotiate. Studies have also shown, through numerous tests, that it would be impossible to make decisions or take action without emotions.
 
Next, training involves working on inhibition techniques to avoid automatic emotional responses.
 
Finally, new relationship management habits would be formed through behavioral anchoring techniques on the most sought-after soft skills in 2024, mainly through the mirror of emotions and social referencing (comparing your emotional response to others).
 
 
How Can I Help My Employees Develop Their Emotional Intelligence as A Manager?
 
 The first step is to be a role model:
 
     
  • Work on your own emotional intelligence and self-awareness.
    •  
  • Get feedback on your shortcomings.
    •  
  • Strive to modify your behavior for better emotional management.
    •  
  • Be open and transparent with your team about your progress.
    •  
 
You can also set behavioral goals with your team members and discuss progress during regular check-ins.
 
You can also guide your team members to coaching resources in relationship management and development that your organization can provide.
 
 
What are the Advances in The Science of Emotional Intelligence? Do We Know How to Assess Emotional Intelligence (Compared to IQ, For Example)?
 
The science of emotional intelligence began before the 1960s with the concept of “social intelligence.” The idea was then further developed by cognitive science specialists and popularized by Daniel Goleman in management through the concept of emotional quotient. It was finally with psychologists Peter Salovey and John Mayer that the notion of EI emerged with the first definition in 1990.
 
Today, there is a vast field of research on the subject, each using different measurement techniques of abilities, ranging from simple interviews to psychological experimentation and brain imaging tests in medicine or neuroscience.
 
 
What Kind of Benefits Does the Development of Emotional Intelligence Provide to Individuals on A Personal Level? And for Their Organization (Especially for Managers)?
 
Emotional intelligence allows individuals to navigate various work situations, including interactions, teamwork, negotiations, and identifying the emotional climate in situations such as presentations.
 
As we have seen earlier, EI is the key to good decision-making. Team members with EI also are appreciated by their teammates and managers. Indeed, they can manage themselves and understand the emotions of others through their empathy.
 
At Wiselancer, we have observed that managers with emotional intelligence are likely to retain their team members by adopting genuine interest and concern for them. All these factors create a better organizational climate.
 
 
What are your Predictions for Innovations and The Future of Emotional Intelligence? Will Soft Skills Become Increasingly Important with The Development of Automation and AI?
 
Artificial intelligence specialized in automatic facial recognition is advancing in detecting people’s emotions; this has many potential applications, for example, in negotiation, and must be closely monitored.
 
Emotional intelligence will become increasingly crucial for employability as jobs are automated. Jobs that require the ability for complex thinking, creativity, and “human skills,” such as empathy in relationship management, are difficult to automate.
 
Form of intelligence: EI can be defined as the ability to interpret others’ emotions well and manage one’s own emotions.
 
High emotional intelligence: High EI is intelligence above the norm and capable of managing the complexity of life and social interactions.
 
Human intelligence: Emotional intelligence is a human intelligence that develops at a different pace than logical intelligence.
 
Self-control: Self-control is an essential element of emotional intelligence.
 
 
 
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  Better performance  
 
 
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How to Improve your Professional Performance
 
 by Shamsul   
 
 
 
 
 
 
How to Improve your Professional Performance
  
Outline of the Article How to Improve your Professional Performance
 
     
  1. Introduction
    2.  
  2. Understanding Professional Performance
    3.  
  3. Setting Clear Goals
    4.  
  4. Time Management and Productivity
    5.  
  5. Continuous Learning and Skill Development
    6.  
  6. Effective Communication
    7.  
  7. Building Strong Relationships
    8.  
  8. Stress Management
    9.  
  9. Work-Life Balance
    10.  
  10. Embracing Feedback
    11.  
  11. Adaptability and Resilience
    12.  
  12. Leadership and Teamwork
    13.  
  13. Maintaining a Positive Attitude
    14.  
  14. Celebrating Achievements
    15.  
  15. Conclusion
    16.  
 
 
Introduction
 
How to Improve Your Professional Performance
 
In today’s competitive work environment, striving for continuous improvement in professional performance is essential. Whether you’re an employee, a manager, or an entrepreneur, enhancing your skills and capabilities can lead to tremendous success and satisfaction in your career. This post will explore techniques and strategies to elevate your professional performance, from setting clear goals to embracing feedback and maintaining a positive attitude.
 
Understanding Professional Performance
 
Before delving into specific strategies, it’s crucial to understand what professional performance encompasses. It involves achieving tasks and meeting targets and demonstrating key competencies such as leadership, communication, adaptability, and problem-solving. Professional performance is a holistic concept that encompasses both tangible outcomes and intangible qualities that contribute to overall effectiveness in the workplace.
 
Setting Clear Goals
 
Setting real and reachable goals is the foundation of improving professional performance. Whether it’s daily, weekly, or long-term objectives, having a roadmap provides direction and motivation. Goals should be specific, measurable, attainable, relevant, and time-bound (SMART), enabling individuals to track their progress and focus on what truly matters.
 
Time Management and Productivity
 
Effective time management is the key of professional performance. It involves prioritizing tasks, minimizing distractions, and optimizing productivity. Techniques such as the Pomodoro method, task batching, and using productivity tools can help individuals make the most of their time and accomplish more in a day.
 
 
Continuous Learning
 
 
 
Continuous Learning and Skill Development
 
The acquire knowledge and skill enhancement is vital for professional growth. Whether through formal education, online courses, or self-study, continuous learning keeps individuals updated with industry trends and equips them with new capabilities. Having a growth mindset and availing opportunities to expand one’s skill set is essential for staying competitive in the professional landscape.
 
Effective Communication
 
Strong communication skills are fundamental for professional success. Whether it’s verbal, written, or nonverbal communication, the ability to express ideas clearly, actively listen, and engage with others fosters collaboration and prevents misunderstandings. Developing communication skills also involves understanding body language, tone of voice, and cultural nuances in diverse work environments.
 
Building Strong Relationships | Professional Performance
 
Networking and relationship-building are integral components of better performance. Cultivating strong connections with colleagues, mentors, and industry peers can open doors to new opportunities, provide valuable insights, and create a supportive professional ecosystem. Developing relationships based on trust, respect, and mutual benefit is a long-term investment in one’s career.
 
Stress Management
 
The quality to manage stress and continue composure in challenging situations is a hallmark of high professional performance. Techniques such as mindfulness, deep breathing exercises, and time for relaxation can help individuals cope with workplace pressures and prevent burnout. Employing stress management strategies contributes to overall well-being and sustained effectiveness in the professional realm.
 
Work-Life Balance
 
Try to achieve a healthier work-life balance is essential for sustained professional performance. Balancing professional responsibilities with personal well-being, hobbies, and family time is crucial for preventing burnout and maintaining motivation. Employers and individuals should prioritize work-life balance to ensure long-term success and fulfillment in the workplace.
 
Embracing Feedback
 
Constructive feedback is a valuable tool for improving performance. Embracing positive or critical feedback allows individuals to to know areas for improvement and leverage their strengths. Actively seeking feedback from supervisors, peers, and subordinates promotes a culture of improvement and personal development.
 
Adaptability and Resilience
 
In today’s dynamic work environment, adaptability and resilience are indispensable qualities. The ability to navigate change, overcome setbacks, and embrace new challenges is essential for sustained professional performance. Cultivating a flexible mindset and the willingness to learn from failures are key aspects of adaptability and resilience.
 
Leadership and Teamwork | Professional Performance
 
For those in managerial or leadership roles, effective leadership and teamwork are pivotal for professional performance. Inspiring and guiding team members, fostering a collaborative environment, and leading by example contribute to organizational success and individual growth. Developing leadership and teamwork skills enhances one’s professional impact and influence.
 
Maintaining a Positive Attitude
 
A positive attitude can significantly impact professional performance. Approaching challenges with optimism, resilience, and a solutions-oriented mindset fosters creativity, motivation, and a conducive work environment. Cultivating a positive attitude benefits individual performance and influences the morale and productivity of those around you.
 
Celebrating Achievements
 
Recognizing and celebrating big and small achievements is essential for maintaining motivation and morale. Acknowledging milestones, accomplishments, and hard work reinforces a culture of appreciation and encourages continued dedication to professional growth. Celebrating achievements also fosters a sense of fulfillment and pride in one’s work.
 
Conclusion | Professional Performance
 
Improving professional performance is an ongoing journey that craves self-awareness, dedication, and a commitment to growth. By setting clear goals, honing essential skills, fostering strong relationships, and prioritizing well-being, individuals can elevate their performance and thrive in today’s competitive work landscape. Embracing feedback, maintaining a positive attitude, and celebrating achievements are integral components of sustained success and fulfillment in one’s career. By adopting the strategies stated in this post, individuals can take bold steps towards enhancing their professional performance and achieving their full potential.
 
 
 
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  Transformative Power  
 
 
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Know The Transformative Power of AI on Marketing
 
 by Shamsul   
 
 
 
 
 
 
The Transformative Power of AI on Marketing 
  
Introduction| AI on Marketing
 
In the dynamic marketing landscape, Artificial Intelligence (AI) integration has emerged as a game-changer, reshaping traditional strategies and elevating how businesses engage with their audiences. From personalized customer experiences to data-driven insights, AI technologies are revolutionizing the marketing industry. This comprehensive article explores the multifaceted impact of AI on marketing, covering key areas such as customer segmentation, content creation, predictive analytics, and the future path of AI in shaping marketing strategies.
 
Personalization and Customer Segmentation:
 
One of the most significant contributions of AI to marketing is its ability to facilitate personalized customer experiences. Machine learning algorithms analyze vast customer data, allowing marketers to design highly targeted and relevant campaigns. AI-driven segmentation enables businesses to understand customer behavior, preferences, and demographics, enabling the delivery of tailored content that resonates with individual audience segments. This personalized approach enhances customer satisfaction, engagement, and conversion rates.
 
Chatbots and Conversational Marketing:
 
AI-powered chatbots have become instrumental in enhancing customer interactions. These intelligent bots leverage Natural Language Processing (NLP) to realize and respond to real-time customer inquiries. Chatbots provide instant support, streamline customer service processes, and contribute to a seamless user experience. Furthermore, they are crucial in conversational marketing, guiding users through the sales funnel and facilitating transactions directly within the chat interface.
 
Content Creation and Curation:
 
AI is transforming the path marketers approach content creation. Natural Language Generation (NLG) algorithms can generate human-like content, from product descriptions to blog articles. This not only expedites content production but also ensures consistency and quality. Additionally, AI-driven content curation tools analyze user preferences and behaviors to recommend relevant content, delivering a more personalized content consumption experience.
 
Predictive Analytics for Marketing Insights:
 
AI’s predictive analytics capabilities enable marketers to make data-driven decisions and anticipate future trends. Machine learning algorithms examine historical data to identify patterns, forecast customer behaviors, and predict market trends. This empowers marketers to optimize advertising strategies, allocate budgets more effectively, and tailor campaigns to meet projected market demands. Predictive analytics also aids in customer retention efforts by identifying potential churn factors and enabling proactive retention strategies.
 
Optimizing Advertising Campaigns:
 
AI enhances the efficiency of advertising campaigns through programmatic advertising and dynamic ad targeting. Automated systems use algorithms to analyze user behavior and adjust ad placements in real time, ensuring that advertisements reach the most relevant audiences. This results in improved ad performance, higher click-through rates, and a more cost-effective use of advertising budgets.
 
Marketing Automation for Workflow Efficiency:
 
AI-driven marketing automation platforms streamline repetitive tasks, allowing sellers to concenter on various strategic aspects of their campaigns. Automation tools can handle email marketing, social media scheduling, lead nurturing, and other routine processes. This saves time, ensures consistency in messaging, and enhances the overall efficiency of marketing workflows.
 
Ethical Considerations and Data Privacy:
 
As AI increasingly integrates into marketing strategies, ethical considerations and data privacy issues emerge. Marketers must navigate the delicate balance between leveraging customer data for personalization and respecting privacy regulations. Striking this balance is crucial for maintaining consumer trust and complying with evolving data protection laws.
 
Conclusion | AI on Marketing
 
The impact of AI on marketing is inventive, revolutionizing how businesses connect with their audiences. AI drives innovation and efficiency across the entire marketing spectrum, from personalized customer experiences and conversational marketing to predictive analytics and automated advertising. As businesses continue to embrace and adapt to these technological advancements, the future of marketing promises even more sophisticated and personalized approaches, where AI continues to be a driving force in shaping strategies and delivering value to both businesses and consumers alike.
 
 
 
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  AI on Project Management  
 
 
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Know The Impact of Artificial Intelligence on Project Management
 
 by Shamsul   
 
 
 
 
 
Impact of AI on Project Management
  
Introduction | Project Management
 
In the fast-paced world of project management, the integration of artificial intelligence (AI) has emerged as a transformative force, reshaping traditional approaches and enhancing efficiency across various industries. As organizations seek innovative solutions to streamline processes and improve project outcomes, AI technologies are becoming indispensable tools for project managers. This article looks into the real impact of artificial intelligence on project management, delving into how it revolutionizes key aspects such as planning, execution, and decision-making.
 
 
AI-Powered Planning:
 
One of the primary areas where artificial intelligence significantly impacts project management is in the planning phase. AI algorithms analyze vast datasets and historical project information to provide accurate and data-driven project timelines. This provides help to project managers in making informed decisions for the allocation of resources, task importance and priority including the risk assessment. AI’s ability to predict potential roadblocks and optimize schedules helps in creating more realistic and achievable project plans.
 
 
Efficient Resource Allocation:
 
Effective management of resources is a vital element in project management. However, AI plays a pivotal role in optimizing resource allocation. Machine learning algorithms can analyze the skill sets of team members, historical project data, and current workload to recommend the most suitable individuals for specific tasks.
 
This not only guarantees the appropriate allocation of individuals to specific tasks but also improves overall team efficiency and minimizes the risk of resource bottlenecks.
 
 
Real-Time Monitoring and Reporting:
 
AI facilitates real-time monitoring of project progress, allowing project managers to track key performance indicators and milestones. Intelligent systems can analyze project data as it unfolds. It is providing insights into potential risks and areas that may require immediate attention. AI-driven automated reporting tools generate thorough reports, preserving valuable time for project managers. It and enabling them to concentrate on strategic decision-making instead of manual data compilation.
 
 
Predictive Analytics for Risk Management:
 
Recognizing and addressing risks is an essential component of project management. The predictive analytics capabilities of AI empower project managers to foresee potential risks by analyzing historical project data and discerning patterns. Machine learning algorithms can assess the impact of various risk factors on project outcomes, allowing for proactive risk management strategies. This enhances the likelihood of project success and minimizes the impact of unforeseen challenges.
 
 
Enhanced Decision-Making:
 
AI empowers project managers with data-driven insights, facilitating more informed and strategic decision-making. AI systems can analyze complex datasets through advanced analytics and provide actionable recommendations. This ensures that project managers have a comprehensive understanding of the project landscape, enabling them to make better decisions that go with the organizational goals and optimize project outcomes.
 
 
Automated Task Management:
 
Artificial intelligence automates routine and repetitive tasks and helps to free up precious time for project managers to stay focused on more challenging and strategic aspects of project management. AI-driven project management tools can handle task prioritization, scheduling, and routine communications, allowing project managers to allocate their time and energy to high-level decision-making and relationship-building with team members and stakeholders.
 
 
Continuous Improvement through Machine Learning:
 
As projects progress, machine learning algorithms can analyze performance data and identify areas for improvement. This continuous learning process allows project management systems to adapt and evolve, refining their algorithms based on real-world project outcomes. This iterative improvement cycle contributes to increased project efficiency and better decision-making over time.
 
 
Conclusion | Project Management
 
In summary, the influence of artificial intelligence on project management is significant, revolutionizing how projects are planned, executed, and monitored. From AI-powered planning and resource allocation to real-time monitoring and predictive analytics, the integration of AI technologies enhances the overall efficiency and success rates of projects. Those organizations accept the transformative potential of AI in project management. They are better positioned to navigate the complexities of the modern business landscape and achieve successful project outcomes. The merger between human expertise and artificial intelligence is helping and paving the way for a new era of project management. Where innovation and efficiency go hand in hand.
 
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Know the Power of Artificial Intelligence – A Transformative Journey
 
 by Shamsul   
 
 
 
 
 
Power of Artificial Intelligence
  
Artificial Intelligence
 
Artificial Intelligence (AI) stands at the forefront of technological evolution, reshaping how we live, work, and interact with the world. As we navigate the 21st century, AI has emerged as a powerful force driving innovation across various industries, promising to revolutionize our understanding of intelligence and elevate human capabilities. In this article, we will delve into the realms of AI, exploring its applications, impact, and the ethical considerations accompanying its rapid ascent.
 
The Essence of Artificial Intelligence:
 
At its core, Artificial Intelligence refers to the development of computer systems capable of performing tasks that typically require human intelligence. This includes learning, reasoning, problem-solving, perception, language understanding, and decision-making. Unlike traditional computer programs that follow predefined rules, AI systems are designed to adapt and improve their performance over time, mimicking human cognitive functions.
 
Applications Across Industries:
 
AI has permeated virtually every industry, ushering in a new era of efficiency, productivity, and innovation. AI is revolutionizing diagnostics, predicting disease outbreaks, and personalizing treatment plans in healthcare. The financial sector benefits from AI-driven algorithms for fraud detection, risk assessment, and portfolio management. In manufacturing, smart factories leverage AI for predictive maintenance, quality control, and process optimization.
 
The automotive industry is witnessing the rise of self-driving cars powered by AI algorithms that interpret complex environments and make split-second decisions. Meanwhile, AI enhances customer experiences in retail through personalized recommendations, inventory management, and supply chain optimization. The possibilities seem limitless as AI evolves and finds applications in unexpected domains.
 
Machine Learning and Deep Learning:
 
Machine learning, a subset of AI, empowers systems to learn from data without explicit programming. It enables algorithms to recognize patterns, make predictions, and improve performance through experience. Deep learning, a more advanced form of machine learning, involves neural networks with multiple layers, mimicking the human brain’s intricate architecture. This technology has fueled image recognition, natural language processing, and speech synthesis breakthroughs.
 
Ethical Considerations:
 
As AI advances, ethical concerns come to the forefront. Issues such as bias in algorithms, job displacement due to automation, and the potential for misuse of AI in surveillance or warfare demand careful consideration. Striking a balance between innovation and ethical responsibility is crucial to ensure the positive impact of AI on society. Regulatory frameworks and industry standards must evolve to address these concerns, promoting transparency, accountability, and fairness in AI development and deployment.
 
The Human-Artificial Intelligence Collaboration:
 
Contrary to the dystopian narratives often associated with AI, the technology’s true potential lies in collaboration with humans rather than replacing them. AI systems excel at processing vast amounts of data, automating routine tasks, and augmenting human decision-making. This collaborative approach unleashes the synergistic power of humans and machines, leading to unprecedented advancements in fields ranging from scientific research to creative endeavors.
 
Challenges and Future Outlook:
 
Despite its transformative potential, AI faces several challenges. Ensuring data privacy, mitigating biases, and overcoming technical limitations are critical tasks for the AI community. Ongoing research and development efforts aim to make AI systems more explainable, interpretable, and secure.
 
Looking ahead, the future of AI holds exciting possibilities. Quantum computing may unlock new dimensions of computational power, enabling AI systems to tackle even more complex problems. Interdisciplinary collaborations between AI and other emerging technologies, such as biotechnology and nanotechnology, could lead to groundbreaking discoveries and innovations.
 
Conclusion – Artificial Intelligence (AI)
 
Artificial Intelligence is a testament to humanity’s relentless pursuit of knowledge and progress. Its impact on society is already profound, and as we navigate the evolving landscape of AI, responsible development and ethical considerations must guide our path forward. With careful stewardship, AI has the potential to empower us, enhance our capabilities, and pave the way for a future where human and artificial intelligence coexist harmoniously, driving progress and unlocking new frontiers of innovation.
 
 
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Why Emotional Agility Can Improve Leadership Skills
 
 by Shamsul   
 
 
 
 
 
 
Why Emotional Agility Can Improve Your Leadership Skills?
  
How do you react when you feel very emotional about something at work, like a situation or a decision? Do you keep it inside? Try to make it go away. Think about it a lot, even after work. If you do, you’ve probably noticed the negative outcomes of doing that.
 
But what if you didn’t react like that? What if you learned to be emotionally agile? According to an expert, it means “becoming more flexible, staying calm, and living with more purpose. It means deciding how you’ll react to your emotional signals.” It sounds like a better way to live and be a leader.
 
In this article, we’ll explain what emotional agility means, why it’s important, and how it differs from emotional intelligence, and we’ll also go through how to improve it to become a good leader. Let’s begin.
 
 
What Does Emotional Agility Mean for Leaders?
 
Emotional agility means recognizing and accepting your feelings so you can react to everyday situations in a way that matches your beliefs and values. This idea became well-known through the successful book called “Emotional Agility: Get Unstuck, Embrace Change, and Thrive in Work and Life.” The book was written by Susan David, a respected Harvard Medical School psychologist known for her ideas on leadership and management.
 
 
Emotional Intelligence vs. Emotional Agility
 
To see how emotional intelligence and emotional agility are different, let’s first look at the definition of emotional intelligence:
 
“Emotional intelligence is about being able to control your own feelings and also being able to understand how others feel.”
 
So, the main difference between emotional intelligence and emotional agility is that emotional intelligence is about “handling feelings,” while on the other hand emotional agility is about having a deeper understanding of emotions. When you recognize and understand emotions more deeply, you can respond to them more aware and self-consciously. As a leader, this means that emotional agility is a bit more advanced than emotional intelligence, and it’s what you should aim for in the future.
 
 
Why Emotional Agility Matters in Leadership?
 
Many times, leaders try to manage, hide, or act like they don’t have the emotions that naturally show up in the workplace, like stress, letdown, or annoyance. For a long time, the story has been that there’s no place for emotions and feelings in business.
 
“Being emotionally inflexible when dealing with complex situations is harmful.” In simpler terms, in a complicated and turbulent world like ours, leaders who don’t handle their emotions well and keep them inside might not only suffer from more anxiety and sadness but also damage their affiliation with their workers.
 
You can’t skip emotional agility if you want to prevent those bad outcomes and become a good leader. Actually, there are a few important reasons why emotional agility is crucial, especially for people in leadership roles:
 
     
  • Helps create better connections between managers and employees.
    •  
  • Makes communication better.
    •  
  • Helps you be more resilient.
    •  
  • Fosters a sense of security for people.
    •  
  • Aids in solving conflicts.
    •  
 
Helps Create Better Connections between Managers and Employees
 
Emotionally agile leaders show real care and support for their employees, which is essential for creating stronger bonds with them. According to studies, 80 percent of employees who had a supportive manager were content with their job. On the other hand, only 20 percent of employees with unsupportive managers were happy with their jobs and had no plans to leave. Furthermore, having a supportive manager increases the likelihood of an employee staying at a company by 300 percent.
 
Makes Communication Better
 
Leaders who are emotionally agile encourage open and truthful conversations with their employees. This helps prevent misunderstandings, build trust-based relationships, and handle conflicts before they harm team spirit or productivity.
 
Helps You Be More Resilient
 
Emotional agility and resilience work well together. A leader who is emotionally agile can handle and bounce back from challenges and the feelings that come with them more effectively. This matters because resilient leaders score a high 87 percent for leadership effectiveness, while non-resilient leaders score a very low 12 percent.
 
Fosters a Sense of Security for People
 
Emotional agility is a tool leaders can use to make a workplace where employees feel safe sharing their ideas and worries without worrying about getting in trouble. This matters because having psychological safety in a workplace has been shown to make employees more involved, reduce the number of people leaving, lessen exhaustion, and boost teamwork among workers.
 
Aids in Solving Conflicts
 
You’ll likely face conflicts that either concern you or your employees as a leader. In these cases, emotional agility helps you become a good leader because it enables you to grasp the conflict better and handle it thoughtfully. This way, you can guide discussions that help everyone involved find a solution.
 
 
What to Do Next: Developing Emotional Agility as a Leader
 
Do you want to be a good leader, someone you’re proud of, and someone your workers are honored to work for? If that’s the case, emotional agility is crucial. Certainly, learning emotional agility doesn’t happen quickly. It requires practice, time, and real-world experience to become at ease with it. Luckily, one-on-one coaching is a great method to build up emotional agility as a leader. A skilled coach can provide valuable support, direction, and ideas. They can teach you how to use new techniques and tools in your daily life and give practical advice for particular situations.
 
 
 
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EMOTIONAL INTELLIGENCE BENEFITS IN PROFESSIONAL LIFE
 
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Amazing Super App for Everything
 
 by Shamsul   
 
 
 
 
 
 
 
Super App – There is a Super App for Everything
  
“There’s A Super App for Everything”
 
“There’s an app for that. (There’s an app for that). In 2009, a year after the launch of the Apple Store, Steve Jobs launched this sentence, which later became an advertising slogan to praise the diversity of the Apple brand’s application store. Almost fifteen years later, when the Apple Store now has 1.8 million apps, and Google Play doubles that, the slogan could be updated in this other form:
 
“There’s A Super App for Everything”
 
A super app is a “do everything” application for smartphones, chatting with friends, ordering a taxi, taking out a loan, buying a plane ticket, paying for a loaf of bread, booking a restaurant, listening to music, etc.
 
The phenomenon of super apps was born in China before taking off in Southeast Asia, India, and Latin America, particularly WeChat and Alipay in China, Paytm in India, Grab in Singapore, GoTo in Indonesia, Zalo in Vietnam or Kakao in South Korea and Rappi in Colombia.
 
These super apps that have slipped into the daily lives of hundreds of millions of people are the stuff of dreams for the American tech giants, which multiply the announcement effects touting their own super app, none of which, however, really exists yet. The same thing happened in Europe, especially in the United Kingdom and France. Start-ups or web companies present themselves on this model while their positioning relates to a single field of activity.
 
 
Great Super Apps in China, Southeast Asia, India, Latin America and Africa
 
WeChat and Alipay are the most used super apps in the world. Created in January 2011 by the Tencent group, WeChat (or Weixin, “micro message” in Chinese) was first a mobile messaging application, similar at first glance to WhatsApp or Facebook Messenger, but “the application has actually built its own model, complex, dense and localized, which turns out to be very different from its so-called Western counterparts”, explains Yuwen Zhang, doctor of information and communication sciences. The gradual integration of other features began in 2013, when Tencent rolled out a video game platform and primarily the WeChat Pay payment tool, in June of the same year, a service now essential in China.
 
On the occasion of the Chinese New Year of 2014, Tencent launched a feature called hóng bāo in Chinese, “red envelope,” which is the dematerialization of the ancestral ritual of Christmas gifts, which appeared as early as the Tang dynasty, between 618 and 907 according to our Gregorian calendar. Instead of passing red envelopes between members of the same family, friends, or colleagues, WeChat Pay has dematerialized this manual gift.
 
 
This practice is still perpetuated on the occasion of many traditional festivals. The WeChat Pay, red envelope service offers two possibilities: the envelope exchanged between two people in a private chat or the “grouped” envelope posted in a common chat where each recipient is assigned a random amount. Six years later, 823 million Chinese sent each other hóng bāo on the first six days of the Lunar New Year.
 
Since 2017, third parties have been developing many mini-applications inspired by the Apple and Google store model, but these are directly accessible within the super app without requiring any download. This system has paved the way for countless services, including e-commerce, food delivery, travel, games, videos, finance, and more. Three years after the launch of the first mini-programs, WeChat had 3.2 million, so much so that, from now on, “Chinese people’s lives depend on this application,” observes Yuwen Zhang.
 
Combining both a messaging service called Moments, a microblogging service comparable to the American Instagram, a news service, as well as a payment service with the telephone – in a country where it has sometimes become impossible to pay in cash – the social utility of the super app is undeniable.
 
 
In 2021, WeChat was used monthly by 1.2 billion Chinese every month; more than 120 million of them post on Moments daily; 360 million follow official account information, and 400 million use mini apps. WeChat had enabled 1.6 trillion yuan in transactions in 2020, or nearly $250 billion, through its mini-programs, doubling the value of recorded transactions in 2019. In 2021, 900 million Chinese people traded with more than 10 million merchants accepting WeChat Pay, linked to 1,800 banks and payment institutions.
 
 
The 1st Competitor of WeChat | Super App
 
The first competitor of WeChat Pay from the Tencent group is none other than Alipay, launched in 2004 by Ant Group, a subsidiary of the payment service of Alibaba Group, another Chinese internet giant specializing in e-commerce. Used by 1.3 billion buyers in the third quarter of 2021 and 80 million merchants, Alipay also relies on mini-programs, 1 million in number, offering cross-functional services within the super app. With Alipay, Ant Group collects data from more than 1 billion Chinese, “including a large number of young Internet users without credit cards or solid banking records, as well as data from 80 million merchants”, explains Reuters. 
 
Ant Group was reluctant to share this data with credit reporting companies controlled by Chinese regulators for a long time. In November 2020, two days before what was to be the largest IPO in history, the simultaneous entry of Ant Group on the Shanghai and Hong Kong stock markets, the Chinese authorities decided to “postpone” the event (see La rem n°57-58, p.96 and n°59, p.95).
 
 
In April 2021, following an investigation into possible monopolistic practices, Beijing finally fined Alibaba 18.23 billion yuan (equivalent to $2.8 billion) for abuse of a dominant position. The Chinese Communist Party has also legislated on the collection and use of personal data in the context of financial services, worrying in particular about the systemic risk that these services represent, undoubtedly a consequence of the bankruptcy of Evergrande, former number 1 Chinese real estate company whose cumulative debt amounts to 300 billion dollars at the beginning of 2022.
 
Among the services offered, Alipay allows its users to easily subscribe to a bank loan, which is not appreciated by many. According to the Financial Times, the Chinese authorities have decided to require the group to split its payment and loan activities so that the subsidiary in charge of the latter can provide all the data of its borrowing customers to a national rating agency, partly controlled by Beijing.
 
The blows dealt by the Chinese authorities to its national giants benefit other super apps in Southeast Asia, Latin America, and Africa. Grab, based in Singapore, where it was founded in 2012, sees its listing on the NASDAQ in November 2021, valuing the company at some 40 billion dollars; today, it is also active in Malaysia, Indonesia, Vietnam, Thailand, the Philippines, Cambodia, and Burma.
 
 
PayTM Creation | Super App
 
PayTM was created in 2010 and owned by the Indian company One97 Communications (which counts among its shareholders the Chinese Ant Group, Alibaba Group and SAIF Partners, the Japanese SoftBank Vision Fund, and Berkshire Hathaway, an American investment company headed by Warren Buffett), is used by 350 million Indians and valued at more than 16 billion euros.
 
The super app Rappi, created in 2015 in Bogotá, Colombia, is now present in 200 cities across Mexico, Costa Rica, Peru, Ecuador, Chile, Argentina, Uruguay and Brazil. SoftBank also invested $1 billion in it in 2019. In six years, the super app, with RappiPay and Rappi Travel, is valued at $5.25 billion and has been downloaded nearly 70 million times in Latin America, giving work to 85,000 delivery people, including 40,000 in Colombia.
 
 
 
MNT-Halan 
 
In Egypt, MNT-Halan started as a ridesharing and delivery app in 2017 before integrating payment services and obtaining a license from the Central Bank of Egypt. In September 2021, MNT-Halan raised $120 million and claimed 4 million users in January 2022.
 
All of these super apps started as simple meal delivery, taxi, or even credit recharge service applications for prepaid mobile phones before raising significant capital and quickly integrating many other features, first and foremost, a payment service. Super apps are thus developing all over the world, except in Europe and the United States.
 
 
In Europe and the United States | Super App
 
Several reasons, all at the same time cultural, economic, or even legal, could explain the success of super apps outside the United States and Europe. They would similarly underline the difficulties that a great app like WeChat would undoubtedly encounter in expanding outside China.
 
The first peculiarity, of a cultural nature, stems from the fact that many users in emerging countries discover the Internet through their smartphones and, therefore, precisely with these super apps, which also benefit from a network effect with the exponential increase in their use. Another determining factor in the emergence of these super apps in China is the technical and arbitrary blocking by Beijing of access to WhatsApp, Signal, Twitter, Facebook, or even Google, which has given free rein to national companies without foreign competition.
 
In addition, the Chinese, Indian or Colombian super apps were built from a messaging software or a delivery service, on which were then grafted a payment service and other financial services. However, in a very different way, the smartphone market developed first in the United States and Europe, bringing the application market with it. While today’s value tends to migrate from smartphones to services, from hardware to software, the United States has remained the land of the superphone and applications by the millions, not super apps.
 
 
The smartphone app ecosystem, invented by Apple, followed by Google, is largely controlled by the two giants through their app stores. This market brings together a community of application publishers, ranging from independent IT developers to multinationals; each focuses on launching a particular service, resulting in the fragmentation of services into separate, single-use applications.
 
Thus, among a multitude of American applications, some leaders stand out for each type of service: Facebook, Snapchat, Instagram, and Twitter for social networks; Deezer or Spotify for music; WhatsApp, Facebook Messenger, and Telegram for messaging; Amazon for delivery; Tinder, Bumble or Badoo for dating apps. In each specific mature market, it will be more difficult for an app to attempt to tie together other services within a single super app.
 
In Asia, and even though all smartphones are built in China, the ecosystem has developed very differently, not from the phone, but by offering services through apps and mini-programs, as in China. Moreover, the generalization of QR codes, sesame to move from the physical world to the digital world, has yet to occur in the United States or Europe. This practice is explained in particular by limited access to banks for users of super apps in Eastern countries, where scanning a QR code to pay for a purchase is the equivalent of contactless payment with a credit card in the West.
 
 
Finally, the competitive authorities, who are currently more European, tend to fight against the emergence of monopolies or duopolies, of which super apps are a driving force. Sharing users’ personal data is fine in some countries. In that case, Europe attaches such importance to it that it is now governed by the General Data Protection Regulations (see La rem n°42-43, p.21).
 
However, application publishers in Europe, France, or the United States would like to reach the rank of the Western super app. In that case, it is interesting to note that their project is always based on a particular field of activity. PayPal announced to become a super app in the banking and financial field just like Lydia, launched in 2013 in France, and Revolut, born in Great Britain in 2014, which respectively claim 3 million and 16 million customers in Europe.
 
 
In the Field of Health:
 
In the field of health alone, three candidates are in the running on the French market: Alan, a French health insurance and provident company created in October 2016; Doctolib, a service born in 2013, of European size; and Nabla, launched in 2018, which presents itself as “the super health app for women”. Each of these announcements, however promising, does not meet the criteria of an Indian, Chinese, or Brazilian super app.
 
In Europe, among the first contenders for the title of the super app, the British online bank Revolute has 1.5 million customers in France. It has developed Stays, a service outside of its core business. Stays have been available since July and August 2021 in England and Ireland.
 
Stays gives Revolute customers to book short-term accommodation via the banking application, thus infringing on the pre-square of Airbnb and Booking.com. The online bank plans to add, among other things, plane ticket purchase and car rental services.
 
 
Only a few web giants, such as Facebook, WhatsApp, PayPal, or even Uber, have a sufficiently large user base to attempt to diversify their services. Uber, launched as a passenger transport application, has expanded its services to food delivery, with Uber Eats launched in 2014 in the United States and 2016 in France, then to the rental of scooters and electric bicycles with Jump, sold to Lime, financed by Google, in which Uber reinjected $ 170 million in 2020.
 
This is also the case for WhatsApp, owned by Facebook, which completed its messaging function in South America with a directory to allow users to find local businesses and which, moreover, is testing the provision of banking products in India. Payment applications are the springboard toward the transformation into a super app. Still, the European competition authority will scrutinize the inclinations of these already dominant players to offer other services, “Which says it is very vigilant against the incursions of tech giants in the financial sector, according to media reports.
 
 
PayPal Announced the Evolution of its App into a Super App.
 
In September 2021, PayPal announced the evolution of its app into a super app. “There are too many apps on all our phones – I can’t have apps for my pharmacy, my grocery store, for all the different e-merchants I have,” explained February 2021 Dan Schulman, president of PayPal. With a new interface, the application invites, through a “Finance” tab, to follow, consult and pay supplier invoices, manage savings, and have a cryptocurrency portfolio. The “Payment” tab with messaging functionality is applicable for donations and national and international transfers. Finally, a “Shopping” tab will soon offer discount coupons valid within a network of partners.
 
In the meantime, paying for your classical baguettes with Instagram, publishing family videos in a private group on PayPal, or taking out a micro-loan with Uber is not arriving in Europe anytime soon.
 
 
China’s Dream of Replacing its Currency with a Digital Yuan | Super App
 
In contrast, China’s dream of replacing its currency with a digital yuan issued by the central bank of the People’s Republic is on the way to reality. In the year 2022, the digital yuan e-CNY wallet, launched on the occasion of the Lunar New Year in a few cities, including Shenzhen, Shanghai, and the Winter Olympics area, was the most downloaded application in China, ahead of Alipay and WeChat Pay on Xiaomi’s application store (the equivalent of Google Play in China) and the Apple Store.
 
Unexpectedly, wherever the Winter Olympics are taking place, it is possible to pay with cash, Visa card, or e-yuan, but never with Alipay or WeChat Pay. However, as a “central bank digital currency or MNBC,” the e-yuan is already in use by both applications. Ultimately, the digital yuan will allow the Chinese Communist Party to more closely monitor the financial activity of citizens and businesses everywhere in the world.
 
 
 
 
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Tags: Alipay, Apple, Application mobile, Grab, GoTo, Kakao, Paytm, Rappi, WeChat, Super App, Weixin, Zalo
 
 
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Sources:
 
“The red envelope in China”, Sun Chengan, Nouvelles de l’estampe [Online], 241 | 2012, doi.org/10.4000/estampe.940, uploaded October 15, 2019, accessed February 9, 2022.
 
“WeChat, All-purpose media”, Yuwen Zhang, Effeuillage, calameo.com, September 9, 2020.
 
“With $23.5M in funding, Egypt’s Halan turns to microfinance to become the region’s next super-app”, Claudine Coletti, Forbes Middle East, forbesmiddleeast.com, October 2, 2020.
 
“Egyptian fintech super-app Mnt-Halan raises $120 million investment”, Claudine Coletti, Forbes Middle East, forbesmiddleeast.com, October 2, 2020.
 
“WeChat advances e-commerce goals with $250B in transactions”, Rita Liao, techcrunch.com, January 19, 2021.
 
“The race to create the world’s next super-app”, Karishma Vaswani, bbc.com, February 5, 2021.
 
“The rise of super-apps wannabes in Latin America: Rappi, Magalu and more”, LAB, labsnews, February 9, 2021.
 
“Paypal: investor day, CEO Remarks”, Dan Schulman, s1.q4cdn.com, February 11, 2021.
 
“What is a great app, and why haven’t they gone global?” », Nessa Anwar, cnbc.co, July 16, 2021.
 
“Rappi’s poor service opens the door for competition, but users aren’t leaving yet”, Megan Janetsky, restofworld.org, July 29, 2021.
 
“Revolut pursues its ambition to become a super-app”, AFP, frenchweb.fr, September 6, 2021.
 
“China: towards the dismantling of the Alipay application? », 6medias, capital.fr, September 13, 2021.
 
“China will reportedly break up Ant Group’s Alipay and force creation of new loans app”, Eustance Huang, cnbc.com, September 13, 2021.
 
 
“Rise of the super app”, Alex Heath, theverge.com, November 1, 2021.
 
“Alibaba recorded 863 million annual buyers in China retail marketplaces in Q3 2021”, CIW Team, chinainternetwatch.com, November 20, 2021.
 
“China, laboratory of super apps”, Marguerite Catton, franceculture.fr, December 30, 2021.
 
“China’s digital yuan: e-CNY wallet tops download charts in Apple and Xiaomi app stores ahead of Lunar New Year”, Coco Feng, Che Pan January, scmp.com, January 10, 2022.
 
“Understand everything about e-yuan, the digital currency that China is promoting during the 2022 Olympics”, Aurore Gayte, numerama.com, February 4, 2022.
 
 
 
 
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  artificial intelligence replace a developer  
 
 
Artificial IntelligenceBetter TipsBusinessMarketingTrendingWriting
 
Will Artificial Intelligence Replace Developers?
 
 by Shamsul   
 
 
 
 
 
 
Will Artificial Intelligence Replace Developers?
 
 
 
 
Can artificial Intelligence replace developers? The first instinct would be to say:
 
“Never in life, it’s much too complex as a job!
Impossible that a few algorithms manage to do that! »
 
And then you are confronted with the reality of artificial intelligence, and there you take a big slap, and you realize that, ultimately, it is not that impossible!
 
So to answer the question in the end. 
 
Can artificial intelligence replace a developer? I would first like you to take this slap in the face and realize what artificial intelligence is.
 
 
The Slap of Artificial Intelligence
 

Already you have to know that artificial intelligence is not a concept of the future; no, it is the present. We are already surrounded by lots of things that work thanks to artificial intelligence.
 
If you browse Facebook and it makes you friend suggestions, it’s artificial intelligence.
When you’re on Netflix, and it suggests movies to watch, that too is artificial intelligence.
Or when you do a Google search and you have trouble formulating your search well and as if by magic you see a list with lots of questions related to what you searched for but well formulated, a bit like you you said but better, that too is the magic of artificial intelligence.
 
 

So yes, artificial intelligence is of the present, not the future.
 

But above all, it can go much further than a few suggestions.
 
 
There is a San Francisco startup called OpenAI, which was co-founded by Elon Musk, again him.
 
This startup created GPT-3, an extraordinary artificial intelligence that produces texts humans could have written.
 
Besides, I’m talking about GPT-3, but they even released the new GPT-4 version, which, as promised, is even crazier.
 
If you go to their website, you can see some examples of what GPT-3 can do, and it’s pretty amazing.
 
For example, she can convert complicated text into simple text that a child can easily understand.
 
But it can still do a lot of things.
 
And there are already quite a few companies that exploit this artificial intelligence.
 
For example, there is Copy.ai which allows you to create blog posts on any subject or descriptions for your Instagram posts.
 
There is also DALL-E 2, which allows you to create images based on texts.
 
 
 
So I don’t know about you, but when I saw all that, I was slapped in the face; I found it extraordinary.
 
But then what interests us today is that as developers, we are going to be replaced by artificial intelligence, and then what about code and artificial intelligence?
 
 
Artificial Intelligence and Code
 
 
GPT-3 gave birth to the Codex, which is the continuity of what we have seen but applied to the code. They trained it on billions of lines of code that they took directly from GitHub.
 
We see here that plenty of examples already work, thanks to Codex.
 
Unfortunately, to test them, you must have an invitation. But we are already seeing examples, and we can realize what it can do.
 
Create SQL queries from the text.
Quickly show what is written on the screen
Explanation of what a link snippet does
Quickly show what is written on the screen
 
 
In my research, I came across some other crazy examples.
 
In a tweet, he shows that by writing a text, he can directly create a small application, and it instantly generates the code made with React.
 
Or else, I saw this Headline site that allows you to generate landing pages from a bit of text.
 
And otherwise, I’ve been coding with an extension on Visual Code for 2 weeks already; it’s GitHub Copilot.
 
And I can tell you that it’s crazy how the pieces of code he offers are often the good ones. I find it really smart, and it makes my code faster.
 
Now that we have seen together all these applications of artificial intelligence on the code.
 
It’s finally time for me to tell you what I personally think about it.
 
 
Will Artificial Intelligence Replace Developers?
 
Will AI Replace Developers?
 

The quick answer is YES.
 
You’ve seen what GPT-3 is already capable of, and GPT-4 promises to be even more powerful.
 
So yes, artificial intelligence will replace developers! Sorry.
 
But I assure you it is not for now.
 
For how long exactly?
 
I do not know.
 
At first, it will help us be more efficient and make us go faster.
 
As a developer, what’s interesting is how the different elements connect to each other and whether an AI can help us go faster in simple and repetitive tasks, but it’s a big YES.
 
For example, for code searches, I find myself telling myself all the time, I am trying to remember where, but I know that I have already created a function that does this or that, for example, splits a URL or validates a form, whatever.
 
Well, imagine that you can write a function that cuts out the URL and that the AI will search through your entire project and find you exactly what you are looking for instead of trying to do a search by yourself which would risk not succeeding.
 
And also, for all that is the syntax or all the little “dumb” things no need to remember them, as I said in my classes because you find it very quickly on Google, but now it can go even faster since the AI gives you all of this directly in your code editor, no need to search on Google anymore.
 
 
And I experimented with it with GitHub Copilot, which saves you an incredible amount of time.
 
In the end, you are a supervisor. You supervise what the AI does for you.
 
So yes, it threatens the developer job as we know it today, especially for juniors.
 
And the first developers that AI is more likely to replace are the routine developers whose job requires little creativity or thought for the simplest tasks like making a landing page.
 
And in the longer term, AI will replace the developer job.
 
But one thing is sure, tell yourself that developers will be among the last to be replaced by artificial intelligence.
 
There are tons of jobs that will disappear before, lawyers, accountants and many others.
 
 
As Naval Ravikant puts it:
 
“The jobs that will be replaced are the most boring and repetitive.”
 
It is not a new phenomenon that specific jobs are being replaced by evolving technology.
And I assure you there will always be other more advanced, smarter jobs that will be created instead.
 
Farmers have been replaced by tractors, scribes, and the printing press has replaced those who wrote many documents by hand.
  
But in the end, if we take it into account, there are more jobs today than at the time as technology evolves, so don’t be afraid of technological evolution; it always creates plenty of opportunities.
  
We are simply gradually shifting towards new, smarter, and more interesting responsibilities.
 
Already have to tell you one thing: there must be humans to manage this AI or develop it.
 
So yes, AI is a threat to the job of the developer as we know it today, but if you have the right mindset, you adapt. It’s you who will learn to use AI in such a way as to do much better, and it is the job of the developer as we know it today that will evolve into something different and smarter.
 
So personally, it’s not bad that AI replaces the job of the developer as we know it today because, on the contrary, we will evolve positively.
 
If we free ourselves from repetitive and tedious tasks, we will free up space in our heads that was used on “dumb” tasks and we will be able to focus on smarter things and the brain is a muscle if you train him
 
 
 
 
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  Business Creation Ideas  
 
 
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8 Business Creation Ideas | Set Up Your Own Business
 
 by Shamsul   
 
 
 
 
 
 
 
8 Business Creation Ideas: Set Up Your Own Business
 
 
  
More and more people dream of business creation and embark on a new adventure, being their own boss and creating a company that perfectly reflects their desires, philosophy, and vision of the world in a more general way.
 
In order to fully blossom in this new life, here are 8 good ideas that deserve consideration. To be chosen according to your personal aspirations.
 
 
1- Create Content and Make It a Source of Income | Business Creation Ideas
 
Today we talk about web influencers to designate people who use social networks (mainly TikTok, Instagram, YouTube, and sometimes Snapchat) to interact with their community on a daily basis. The main motive is to show you how to develop a strong relationship with your online community in the most natural way possible.
 
Then, when it is large enough, you will be approached by brands who will ask you to promote their products for a fee. This can quickly become very profitable (some star Youtubers earn a lot of money), provided you can have a profile offering a truly professional rendering without amateur errors.
 
 
2- Surf on Eco-Friendly and DIY to Launch you’re Business | Business Creation Ideas
 
More and more consumers seek to obtain products of which they know the origin and especially the composition. So, why not launch yourself into the market for solid cosmetics, hand-made washable towels, or jewelry made by you?
 
To start selling your creations, you can rely on very accessible platforms such as Etsy, which offers a shop opening in 4 steps before one day taking off with your own business website.
 
 
3- Spend Your Time On Social Networks For Others | Business Creation Ideas
 
Are you used to spending time on Facebook, Instagram, and TikTok, and do you know how all social networks work? In this case, you can become a freelance Community Manager!
 
As a self-employed person, you will manage the online accounts of brands, influencers or companies. It’s a generally time-consuming job that can pay off big if you make a name for yourself in the field and prove your skills.
 
 
4- Train Others in Different Fields | Business Creation Ideas
 
A number of individuals are looking to start their businesses and want some training. So, if you are talented in any field, you can pass on your knowledge to them. You can develop your own face-to-face or remote training through “e-learning” platforms or MOOCs. This practice is part of the list of the best jobs to practice at home.
 
Remember to fully exploit social networks’ potential to make yourself known in your community. Show your experience, make you want to take your courses, and you will see your income increase more quickly.
 
 
5- Sell Products without Stocking, Thanks To Dropshipping
 
You can start your own online store, even if you have no storage warehouse or the means to invest in new purchases.
 
With dropshipping, you promote different products on your site and your social networks, encourage your community to order them, and earn a commission on each sale finalized. In order to attain speedy success in the field, you must work on your community because the more sales bring more earnings, the more you can earn.
 
 
6- Assist Other Professionals via the Remote Channels | Business Creation Ideas
 
By becoming a teleworking secretary, you do not necessarily need to leave your home: professionals work for platforms (in offices or open spaces), but others carry out 100% of their activity at home… It’s up to you to select according to the opportunities that are present around you.
 
You may be called upon to practice for one or more client(s) in fields as varied as crafts, associations, individuals wishing to delegate their taxation and administrative procedures, VSEs, and SMEs in all sectors or even professions. Here, you need excellent human qualities and meticulous organization.
 
 
7- Train Others to Play Sports | Business Creation Ideas
 
A number of people are taking up sports to feel healthier, lose weight, or gain strength. Unfortunately (and lucky for you), self-motivation isn’t always easy. You can pass a sports coach diploma in order to have an actual argument to value and valuable know-how for your customers.
 
Then, you will offer them personalized training according to their objectives and constraints (short time, overweight, difficulty carrying out long sessions, etc.).
 
 
8- Interior Decorators: The Job of a Coach in an Organization or an Interior Decorator
 
After having experienced several confinements, the French feel more than ever the need to feel good at home. The services of architects, interior designers, and other storage coaches are particularly in demand. You have every chance of finding clients if you go into these professions.
 
If you like making the most of small spaces and helping families with lots of kids, keep their homes tidy, consider organizational coaching. If you prefer to let your creativity express itself, the profession of interior decorator will suit you better.
 
 
In Conclusion | Business Creation Ideas
 
We hope these few avenues for serious activities already help you see things more clearly. Taking the step of becoming your own boss takes thought and can take time. Have you yet to find the idea that suits you perfectly or the one that would be motivating enough to launch your business? With some luck, the solution that suits you best is there. In this case, we strongly suggest you read our article presenting Grow Your Business with These 10 Best Artificial Intelligence AI Marketing Tools and 21 business ideas to create online. Whatever your strengths, rely on them to find THE right activity for you, which will allow you to enrich yourself and make you want to get up every morning to work.
 
 
 
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Need Help or Advice in Content Writing Management:
 
Would you like more advice? Do you have good practices to share? Express yourself in the comments.
 
Also, if you want help in writing content to drive more traffic and boost conversions; please get in touch through  Contact our team.
 
Do you want help writing quality content, driving traffic to your website, and boosting conversions? You can contact me through my Freelancer.com profile also. I always prefer to work through my Freelancer.com profile for smooth functioning. Here you pay safely and securely.
 
 
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  Internet of Things  
 
 
Artificial IntelligenceManagementMarketingScholarlyTrendingWriting
 
Know the Impact of IoT on Business and Society
 
 by Shamsul   
 
 
 
 
 
IoT in Transforming the World
 
The literature review highlights how IoT has transformed how organizations do business today. How society functions, along with discussing the potential of IoT in transforming the world we live in today.
 
The literature review discusses the potential of IoT use and the risks and challenges faced. It touches on how society and organizations as a whole benefit from IoT implementation and what challenges and risks can be waiting around the corner if proper IoT implementation and related rules and regulations are not followed.
 
The literature review discusses IoT’s benefits, challenges, and risks.
 
to organizations and society, along with the possible actions that should be taken to derive maximum benefits from IoT while eliminating involved risks and challenges to all possible extents.
 
Extensive analysis of the literature reveals that while almost all researchers agree on the importance and beneficial nature of IoT, almost all present some concerns over its adoption strategies and the need to develop a use infrastructure system with the right rules and regulations, that will overcome challenges and risks and offer the maximized benefit of the technolog
 
IoT
 
Internet of Things (IoT) is a network of connected objects that are able to link and communicate with each other, along with other devices that are internet enabled (Ramos, Augusto & Sharipo, 2008). Ramos, et.al., (2008) evaluate IoT as offering the capability of controlling and monitoring the physical world in a remote manner. 
 
Hashem, et.al., (2015) further adds that the adoption of IoT will enable businesses to yield immense benefits, in addition of the Big Data that will be gained as a result offering valuable insights and the potential to obtain value from them. This however does not mean that scholars and researchers are not concerned about the risks involved as Scarfo (2014) points out that there may be factors and risks associated with IoT use that may have unintended effects on its use by organizations.
 
IoT is clearly generating great interest. The number of related devices is predicted to reach 55 billion by 2025, and companies recognize that a connected workplace would offer several opportunities. Realizing that IoT can have a major impact on a company, its mode of operation, its personnel and its flexibility is fundamental for its adoption (Challal, 2012). Soon all the devices owned and virtually all of the things that exist – will be connected to the Internet. Whether it is via a mobile phone, “clothing” devices or ordinary household appliances, everything will be linked to the Internet of Things (IoT) by means that cannot be imagined yet.
 
Emergence of IoT
 
Attaran (2017) defines the evolution of technology as being in its third wave currently. The first wave included the worldwide web connecting computers with various networks and connecting people with people in the second wave. IoT is the third and current wave that has connected everything with everything else. May it be people, devices, types of machinery, environments or virtual objects, everything today is interconnected.
 
The thermostat, alarm system, smoke detector, doorbell and refrigerator in your home may already be connected, but changes are also beginning to be seen across cities. Thanks to better management of energy, water, transport and security, residents are closer to their environment, which brings us to realize a fully integrated, intelligent and sustainable city. In addition to this, an incredible bubbling of activity and innovation at the level of production plants is also witnessed, where the potential of cyber-physical systems to improve productivity and efficiency in the production process is immense (Vermesan et al., 2011).
 
Paradigm Shift in Technology and Its Effect On Business
 
According to consulting firm Gartner, Inc., (2013), 6.4 billion connected devices will be used worldwide this year, up 30% from last year. This figure is expected to triple to almost 21 billion by the end of 2020 (Gartner Inc, 2013).
 
The impact of IoT is ever-expansive as technology rapidly gains acceptance and adds to the functionality. There are three major economic sectors that will experience a phenomenal boom in terms of IoT solutions, e.g., businesses, governments and consumers. Businesses by far will adopt IoT solutions owed mostly to the potential it offers with respect to enhancing productivity, lowering costs of production and exploring and expanding to newer markets, besides aiding in the development of new products or adding value to existing ones (Shim, et.al., 2019)
 
On an international level, major developments are taking place in the conventional manufacturing industry, marking the dawn of intelligent manufacturing, also known as Industry 4.0. (Sen, 2010). IoT provides manufacturers the ability to track objects, to find out how consumers use certain products, and to determine which features are paramount. They can thus better understand the adjustments to be made to increase the adoption and purchase rates. Businesses want to know what users are doing with the products to take advantage of them, and IoT gives them the opportunity.
 
Potential Benefits 
 
The biggest benefit IoT offers organizations by far is the Big Data abundancy. Fleisch (2010) identified 7 drivers of value related to IoT’s use by businesses, also partially discussed in further literature on the topic. These include
 
1. Enhancement of job satisfaction, consumer empowerment, reduced labor cost and improved quality of data received (Bi, Da Xu, & Wang, 2014; Fleisch, 2010).
 
2. Reduction in costs of process failure, fraud and labor cost, along with offering high granularity information that enables achieving of efficiency through enabling improvement of process (Fleisch, 2010)
 
3. Improvement of quality of service by means of prompt control of service and identification of potential areas that require improvement of the process (Brous & Janssen, 2015, Fleisch, 2010)
 
4. Reduction in cost of process security and process failure, enhancing trust in consumers (Fleisch, 2010)
 
5. Direct feedback enhances the effectiveness and efficiency of service through flexible, robust and accurate processes (Fleisch, 2010)
 
6. Widely ranging feedback from users offering opportunities of advertising to new consumer segments and seeking new revenue streams (Fleisch, 2010)
 
7. Identification of trends through customer feedback, ideas on new product features and enhancements and selection of new segments that attract consumers (Fleisch, 2010).
 
IoT applications of Automation
 
Chui, et.al. (2010) further add on that the IoT applications of Automation and Control and Information and Analysis have contributed tremendously to enhancing the efficiency of organizations and enforcing compliance through the amount of processed data IoT has offered and respectively the base for analyzing that data. Further on Information and Analysis ability IoT has offered organizations has enabled them to experience effective decision-making based on quality data received from various networked physical objects and analytics driven by sensor-based tracking devices.
 
Harrison (2011) also stresses on the benefits IoT offers for eCommerce and Commerce entities as the granular data collected automatically and in real-time, with the ability to share instantly has transformed the business scenario completely.  
 
IoT offers a vast variety of benefits offering analysis and real-time data measurement offering tactical, political, strategic and operational benefits that have completely transformed how businesses operate today (Brous & Janssen, 2015).
 
Potential Risks Of IoT Use
 
Although there is no denying the tremendous benefits IoT has offered organizations, yet there are risks, challenges and barriers to its complete adoption. Organizations are turning towards IoT to observe new data sources; however, as Scarfo (2014) put it, one great challenge faced is the security, information sharing and privacy of this data. Security and privacy have been a major concern. Moreover, they are the main obstacle to the complete adoption of IoT (Skarmeta, et.al., 2014).
 
There are concerns related to the disclosure of user information as there is a possibility of revealing sensitive information in the process, related to personal or financial data, etc. Unauthorized access can put many users at risk of being exploited and will impact the privacy of users severely (Fan, et.al., 2014; Kranenburg, et.al., 2014).
 
Misuraca (2009) explains that there is no second opinion that IoT has brought a wealth of opportunities for businesses. However, there is a need to develop regulations and policies related to IoT. Also, organizations need to place themselves very carefully among these regulations (Stephan, et.al., 2013).
 
implementation of IoT 
 
Another challenge organizations face in the implementation of IoT is the high implementation and development costs. Though overall cost reduction is a benefit of IoT initial implementation and development is a costly affair, coming as a challenge to organizations (Yazici, 2014). According to estimation, Walmart’s vendors had to spend around $1 million to $3 million on RFID implementation, signaling that a fully functional system of IoT can be substantial for organizations. (Yazici, 2014).
 
Like any new technology, IoT can be confusing and a little scary, especially when the debates revolve around standardization. Currently, the biggest problem in the field is the lack of consistent standards.
 
There are no standards for certain layers of IoT technology, but others are the subject of many competing standards, none of which is clearly decisive. Without a “common communication method”, devices will only be able to communicate with their own brands, which will seriously reduce the interest in connected machines. It is enough to consider connectivity issues to understand how difficult the lack of stable standards can complicate product development and industry growth. For example, if an organization that develops smart clothing technologies differs from a company that develops technology for smart buildings, the chances of communicating their products are minimal (Khan, Khan and Khan, 2012).
 
Future Actions To Support IoT Implementation
 
To make the IoT more understandable for the general public, society is enthusiastic about the release of various “wearables” (activity trackers, connected watches, etc.) and equipment for the connected home. It is true that these areas carry considerable value where the global wearable market is “more than double” in 2015. However, the fact is the essentials: in the next ten years 70% of the value will come from applications in B2B. Experts estimate that around $ 11.1 billion in value will be created every year. US$ 5 billion of which will come from B2B alone, such as production in the broadest sense, that is, manufacturing, agriculture and even health structures, extraction of raw materials (mines, gas, oil), construction and finally, in offices (Chen, et.al., 2014).
 
The potential of IoT is therefore global. Emerging markets with their intensive manufacturing production will be the first to adopt it. 38% of the global estimated value is likely to be generated in developing economies. These countries having less legacy technologies, their economies will skip stages. Quantitatively, the deployment of IoT (factories, extraction, oil and gas, construction) could exceed that in post-industrial economies (Stankovic, 2014).
 
Optimizing Operations
 
Investing in IoT hardware is just a starting point in the value creation chain. Most of the competitiveness gains will be realized elsewhere. The IoT will provide a constant flow of essential data in decision-making and which will optimize operations, work organization and staff allocation.
 
According to (Chen et al., 2014), IoT systems will centralize all data concerning the operation and actual use of the equipment. This data will then be more precise than the information collected from consumers or during studies. Manufacturers will be able to understand which functions of their products are more or less frequently used, in order to modify the design to make them more functional. In addition, improving the iterative loop (e.g. updating online connected products) will make the whole more robust and more relevant. So, instead of depreciating, the object will continue to increase in value (Chen et al., 2014).
 
Currently, most of the data generated by the IoT sensors is not in use. Usually on an oil drilling site, a traditionally “early adopter” area, 30,000 detectors are installed. Only 1% of the data is in practice, yet this data is an important source of additional value.
 
Create Innovative Economic Models
 
IoT can lead to the creation of new business models that would be game-changing in various industry sectors. For example, the use of IoT connectivity and data can transform the sale of industrial capital goods into a service. There are many ways to create new economic models. First, knowing when and how the equipment is used allows manufacturers to optimize and monetize a new use-consumption. Second, the data set obtained from all these objects helps the supplier to gain performance in the management and use of its equipment. For example, analyzing IoT data would help improve maintenance forecasts, reduce downtime and anticipate peak usage (Hui et al, 2012).
 
This change in the economic model will encourage companies to strengthen their service offer. Product development turns into service development, where value is co-created with the customer. It will not be enough to focus on the product features for which customers will pay the most. Understanding customers’ expected results will be vital to formulate the most effective offer.
 
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References
 
 
Attaran, M. (2017) The Inter of Things: Limitless Opportunities For Business And Society. Journal of Strategic Innovation And Sustainability. 12(1), pp. 10-29.
 
Bi, Z., Da Xu, L., & Wang, C. (2014) ‘Internet of Things For Enterprise Systems Of Modern Manufacturing’, Industrial Informatics, IEEE Transactions. 10(2), pp. 1537–1546.
 
Brous, P., & Janssen, M. (2015) Effects Of The Internet Of Things (IoT): A Systematic Review Of The Benefits And Risks. The 2015 International Conference On Electronic Business. [online] Available at file:///C:/Users/MSE/Downloads/dualityofIoT-benefitsandrisks-shortversion.pdf
 
Challal Y. (2012) Security Of The Internet of Things: Towards A Cognitive And Systemic Approach. HDR, June, UTC.
 
Chen, S., Xu, H., Liu, D, Hu, B., & Wang, H. (2014) A Vision Of IoT: Applications, Challenges, And Opportunities With China Perspective. IEEE Internet Things. 1(4), pp. 349–359.
 
Chui, M., Löffler, M., & Roberts, R. (2010) The Internet Of Things. McKinsey Quarterly. 2 , pp. 1-9
 
Fan, P. F., Wang, L. L., Zhang, S. Y., & Lin, T. T. (2014) ‘The Research On The Internet Of Things Industry Chain For Barriers And Solutions. 441, pp. 1030–1035.
 
Fleisch, E. (2010) ‘What Is The Internet Of Things? An Economic Perspective’, Economics, Management, and Financial Markets. 2, pp. 125–157.
 
 
Gartner (2017) Forecast: Internet of Things — Endpoints and Associated Services, Worldwide. [online] Available at  www.gartner.com.
 
Hashem, I. A. T., Yaqoob, I., Anuar, N. B., Mokhtar, S., Gani, A., & Khan, S. U. (2015) The Rise Of “Big Data” On Cloud Computing: Review And Open Research Issues Information Systems, 47, pp. 98-115.
 
Harrison, M. (2011) The Internet of Things’ And Commerce XRDS: Crossroads, The ACM Magazine for Students. 17 (3) pp. 19-22.
 
Hui, S., Wan, J., Zou, C., & Liu, J. (2012) Security in the Internet of Things: A Review. IEEE.
 
Kranenburg, R.V., Stembert, N., Victoria Moreno, M., Skarmeta, A.F., Lopez, C., Elicegui, I., & S´anchez, L. (2014) CoCreation as the Key to a Public, Thriving, Inclusive and Meaningful EU IoT.
 
Ramos, C., Augusto, J. C., & Shapiro, D. (2008) Ambient Intelligence-The Next Step For Artificial Intelligence. IEEE Intelligent Systems. 23 (2), pp. 15-18.
 
Scarfo, A. Internet of Things, The Smart X Enabler. (2014) International Conference on Intelligent Networking and Collaborative Systems (INCoS).pp. 569-574.
 
Sen, J. (2010) Internet of Things – A Standardization Perspective. [online] Available at www.gisfi.org/wg_documents/GISFI_IoT_2010062.pdf.
 
Shim, J. P., Avital, M., Dennis, A. R., Rossi, M., Sorensen, C., & French, A. (2019) The Transformative Effect Of The Internet Of Things On Business And Society. Communications Of The Association For Information Systems. 44.
 
 
Skarmeta, A, F., Hernandez-Ramos, J. L., & Moreno, M. V. (2014) A Decentralized Approach For Security And Privacy Challenges In The Internet Of Things. IEEE World Forum On Internet Of Things (WF-IoT). pp. 67-72.
 
Stankovic, J. A. (2014). Research Directions For The Internet of Things. IEEE Internet Of Things. 1(1).
 
Stephan, E.G.,  Elsethagen, T. O., Wynne, A. S., Sivaraman, C., Macduff, M. C., Berg, L. K., & Shaw, W. J. (2013) A Linked Fusion Of Things, Services, And Data To Support A Collaborative Data Management Facility. 9th International Conference Conference on Collaborative Computing: Networking, Applications and Worksharing (Collaboratecom), pp. 579–584.
 
Vermesan, O., et al. (2011) “Internet of Things Strategic Research Roadmap”, Cluster of European Research Projects on the Internet of Things.
 
Yazici, H. J. (2014) An Exploratory Analysis Of Hospital Perspectives On Real Time Information Requirements And Perceived Benefits Of RFID Technology For Future Adoption. International Journal of Information Management. 34 (5), pp. 603-621.
 
 
 
 
 
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  Knowledge vs Wisdom  
 
 
Artificial IntelligenceBetter TipsBusinessManagementMarketingPersonal GrowthTrendingWriting
 
Difference Between Knowledge and Wisdom Need To Know
 
 by Shamsul   
 
 
 
 
 
Difference Between Knowledge and Wisdom Need To Know
  
 
 
 
 
 
 
 
 
 
Main Difference – Knowledge vs Wisdom
 

Knowledge and wisdom are two qualities that we aspire to acquire in life. Although both are interrelated concepts, they are markedly different. The main difference between knowledge and wisdom is that knowledge is the facts, information, and skills acquired through learning or education. In contrast, wisdom is the quality of experience. Knowledge and judgment. Wisdom also refers to the sensible application of knowledge.
 
 
What is Knowledge
 

Knowledge refers to facts, information, and skills acquired through learning and education. Knowing and understanding a specific topic and being aware of certain ideas, topics can be defined as knowledge. We acquire knowledge through learning, education, and training. Knowledge can refer to the theoretical and practical aspects of a subject. 
 
Here is a clear example: When we learn a language, we learn new facts and information about that language and acquire skills through language learning. The end result of this learning process is the acquisition of new knowledge.
 
Knowledge of specific topics: Topics are essential in everyday life. For example, you must have some knowledge of the highway code even if you are walking on the road. We all know we should wait for the green light before crossing the road. But how did we acquire knowledge? Different people acquire it by various methods. Some might have learned it by observation, while others would have learned it.
 
 
Wisdom – Meaning and Usage
 

Wisdom is recognizing or judging what is true, right, or lasting. A person cannot have wisdom without having knowledge, but knowing something does not necessarily indicate wisdom.
 
Wisdom can also refer to applying the knowledge you have. For example, you might have knowledge of how to use a weapon, but wisdom lies in knowing when to use it. Wisdom cannot simply be acquired by learning or education; acquiring wisdom requires experience and sound judgment.
 
 
The following quotes will help you better understand the difference.
 
 
 
“Knowledge without application is simply knowledge. Applying knowledge to one’s life is wisdom – and it is the ultimate virtue”. Kasi Kaye Ilipoulos
 
 
 
 
 
 
“Wisdom is not a product of schooling, but the lifelong attempt to acquire it.” -Albert Einstein.
 
 
 
 
“To know is to know that a tomato is a fruit. Wisdom does not put it in a fruit salad.” – Miles Kington.
 
 
 
 
“Knowledge comes, but wisdom remains.” –Lord Tennyson.
 
 
 
 
Difference Between Knowledge and Wisdom
 

Definition
 

Knowledge is to gather facts, skills and information.
 
Wisdom is made up of knowledge, experience, and good judgment.
 
Truth and False vs Right and False
 
Knowledge provides you the ability to identify whether specific facts are true or false.
 
Wisdom allows you to discern whether an idea is right or wrong.
 
 
Interrelationship
 

Knowledge is the possession of information and facts.
 
Wisdom is the application of acquired knowledge.
 
 
Acquisition
 

Knowledge can be acquired through education.
 
Wisdom cannot be acquired by learning.
 
 
 
 
 
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WHAT IS THE 5 TOP WISDOM FOR SUCCESS?
 
5 WISE WORDS THAT GUARANTEE SUCCESS IN LIFE
 
 
 
 
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  Agile Leadership  
 
 
Artificial IntelligenceBetter TipsBusinessManagementMarketingTrendingWriting
 
5 Practices An Agile Leader Cannot Be Successful Without
 
 by Shamsul   
 
 
 
 
 
An Agile Leader
 
Agile leadership has been the buzzword in the industry for some time now. There is not a single soul that has not wondered how agility is practiced in leadership, and what it means in terms of daily application in businesses. After consulting several successful leaders and leadership coaches, here are the five common practices that an agile leader carries out daily.
 
1- Flexible and Steady
 
With the rapid shifts in the markets where one may need to be fast at points and rather slow at others, a leader is required to be flexible enough to deal with any disruptive environment. An Agile leader should be able at every level to adjust in accordance with the times while remaining steady and stable, keeping the immediate and intermediary goals in mind. An agile leader’s eye should be set on the business objective, while the hullabaloo seeks the possible ways of reaching those objectives.
 
2- A Mix Of Different Leadership Styles | Agile Leader
 
Agile leadership demands flexibility in terms of leadership styles as well. Sometimes an authoritative and directive leadership style suffices in a situation, while at other times, coaching or a facilitator style serves best.
 
3- Ability To Create Opportunities From Unstable Situations
 
An agile leader should possess the ability to maneuver across all unstable situations such as economic, environmental and other similar turbulences, finding opportunities out of them. Qualities that help in doing so include innovative problem-solving ability, continuous learning process, and deep focus on surrounding and feedback from others.
 
4- Constant Learning Facilitating Proactive Actions
 
Agile leaders keep learning about their environment and the factors affecting the world around them. Since reacting to changes would only mean letting others define success for you, staying in the loop with all stakeholders and predicting changes before they occur offers the capability to change with time and handle things in a timely manner. It helps by providing the basis for remaining proactive to happening changes.
 
5- Focus On People and Purpose | Agile Leader
 
Agile leader or agile leadership has the ability to deliver bold results. However, this is only possible with a clear purpose in mind and an unshaken focus on the development of people. A leader who has clarity of purpose. Moreover, has the ability to eliminate any ambiguity from the minds of the followers as well. An agile leader needs to listen, learn, be concerned and care about the people around them, which makes leadership successful.
 
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  Grow your Business  
 
 
Artificial IntelligenceBetter TipsBusinessManagementMarketingTop 10TrendingWriting
 
10 Best AI Marketing Tools to Grow Your Business
 
 by Shamsul   
 
 
 
 
 
 
Grow Your Business with These 10 Best Artificial Intelligence AI Marketing Tools
  
While Artificial Intelligence AI marketing tools have been around for some time, their popularity surged in 2022. Gaining valuable data insights is important for both solopreneurs and entrepreneurs. This is necessary to understand your competitors and customers to make useful business decisions to grow your business. Artificial Intelligence marketing tools refer to software that leverages AI to swiftly gather and analyze data such as competitors’ analysis, customer behavior, product reviews, and more with marginal human involvement.
 
This post explains the 10 best Artificial Intelligence AI marketing tools to help grow your business. Moreover, affiliate marketers, content creators, and bloggers also utilize Artificial Intelligence marketing tools to devise data-driven business and marketing strategies that enable them to promote their businesses effectively. Thus, you can also leverage these AI marketing tools to grow your business.
  
Jasper.ai
 
Regarding artificial intelligence writing assistants, Jasper would definitely be on top. It exploits the GPT-3 model that OpenAI created. It can write blogs and articles like humans. Jasper.ai analyzes the topic’s tone, words, and paragraphs and delivers a professional article. It is really thrilling to see how Jasper creates content in different forms such as product descriptions, blog posts, emails, ad copy, and posts for social media in a matter of a few seconds.
 
 
 
 
 
Best Features of Jasper.ai
 
     
  • It has the ability to understand over 25 languages.
    •  
  • It has over 1100 free fonts.
    •  
  • It encompasses 2500 writing styles.
    •  
  • It can create over 1000-word and long-form articles and posts.
    •  
  • It has an instinctive interface that can easily adopt voice tones.
    •  
 
 
 
Acrolinx
 
Acrolinx is an AI-based marketing tool that you can use to grow your business by enhancing the quality of work or content. This site mainly targets big companies like Amazon and Google. From aligning to toning and styling your content, this marketing tool will do it with ease in seconds. It reviews content and suggests edits by highlighting the tone of your content and grammar. This will ultimately help you to improve customer experience.
 
 
 
 
Best Features of Acrolinx
 
     
  • It reviews content and suggests necessary edits according to your company’s wording.
    •  
  • It also has an analytic dashboard to see insights.
    •  
  • It has the ability to integrate with over 50 authoring platforms.
    •  
  • It can also automate the process of editing.
    •  
 
 
 
Semrush
 
This is one of the most versatile AI marketing tools that offer various services such as competitor analysis, PPC, social media marketing, content marketing, SEO, and many more. You will get everything on this platform. Individuals and enterprises trust this AI tool because of its innovative solutions. Its features will surely grab your attention. In simple words, it is a complete content marketing tool.
 
 
 
 
 
Best Features of Semrush
 
     
  • It has SEO tools that can grow traffic.
    •  
  • It has access to over 24 billion keywords for more than 130 countries.
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  • It offers in-depth site audits.
    •  
  • It also offers competitor analysis.
    •  
  • It helps in creating drafts, post content, and schedules.
    •  
 
 
 
 
Seventh Sense
 
For email marketing, Seventh Sense is the best AI tool. It mainly works with Marketo and HubSpot. The most fantastic aspect of this AI tool is that it observes each user’s engagement with their inbox, including the time of the day they typically read or check emails. This kind of personalized marketing is ideal for getting the attention of your target audience. These days, email marketing is one of the leading ways to capture the interest of your audience, and Seventh Sense will help you do it with ease. You can effortlessly make attention-grabbing email marketing with this service.
 
 
 
 
 
Best Features of Seventh Sense
 
     
  • It helps to build a customer engagement plan or strategy.
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  • These emails won’t go to spam because they are time-optimized.
    •  
  • It also offers email A/B testing.
    •  
 
 
 
 
MarketMuse
 
It is a full-service optimization and content creation AI tool ideal for individuals and enterprises. They can strategize both short and long-term content with this marketing tool. It is also a research tool that helps generate topics and convert them into landing pages, emails, sales copies, and blog posts. MarketMuse also acts as a guide for giving key performance indicators (KPIs) and content briefs. It also offers suitable edits to enhance the readability and quality of your content.
 
 
 
 
 
 
Best Features of MarketMuse
 
     
  • It is a deep artificial intelligence research conducting tool.
    •  
  • It can create perfect drafts.
    •  
  • Its editing services improve the quality of content.
    •  
  • It is an all-in-one artificial intelligence marketing tool for your needs.
    •  
 
 
 
 
Pro Rank Tracker
 
Pro Rank Tracker is an essential tool for individuals and businesses that can easily track your company’s search engine optimization (SEO) rankings on different search engines such as Yahoo, Bing, Google, Amazon, and YouTube. Basically, it is a cloud-based app that can monitor your site simultaneously, which is a difficult thing to do in general. Moreover, Pro Rank offers accurate and insightful data that will help businesses make the right decisions to uplift their marketing. It can be accessed through mobile and desktop.
 
 
 
 
 
Best Features of Pro Rank Tracker
 
     
  • It is easy to use and has a user-friendly interface.
    •  
  • Website owners, businesses, and SEO experts use this platform.
    •  
  • It is available in over 13 languages.
    •  
  • It can analyze charts, online views and data.
    •  
  • It has a built-in report generating feature that you can easily send to anyone.
    •  
 
 
 
 
Personalize
 
Personalize is one of the most innovative AI marketing tools in this space. It helps to find the interest of your target audience in products and services. By exploiting its algorithm, you can monitor up to 3 products of interest per customer by identifying their digital footprint. It saves data based on the recurring frequency and site visits, providing real-time insights. It allows businesses and individuals to develop one-to-one marketing campaigns to market their services and products in the right place. This tool will help to increase clicks and open rates because of its fantastic marketing campaigns.
 
 
 
Best Features of Personalize
 
     
  • It provides real-time data of users based on their activities.
    •  
  • It offers a personalized marketing experience.
    •  
  • Its algorithm allows you to monitor customer preferences and behaviors.
    •  
  • It has tracking features in the form of recency, frequency, and time.
    •  
 
 
 
 
Scalenut
 
If we talk about organic AI marketing tools, then Scalenut will definitely impress you. It is an all-in-one marketing tool for your content needs. Moreover, it plans suitable keywords for your content according to your business niche. It also helps to uncover insights by building effective marketing strategies. It can also create SEO content using artificial intelligence writing tools. As a result, you get fully optimized and better content. It tracks your ranking on search engines as well.
 
 
 
 
Best Features of Scalenut
 
     
  • It develops SEO content in a step-by-step manner.
    •  
  • It has over 40 artificial intelligence writing templates.
    •  
  • It can write attractive marketing copy for your emails and website.
    •  
  • It is loved by modern marketers, founders, SEO professionals, and agency owners.
    •  
 
 
 
Brand24
 
If you want to check your social media reputation, then you should use Brand24. It is a unique AI marketing tool that helps to unearth the real reputation of your business or brand on social media. You can analyze both positive and negative comments with this AI tool. It also analyzes conversions that contain your brand, competitors, or company from the internet. In short, this AI marketing tool will take your marketing efforts to a whole different level, whether you are a small enterprise or a big enterprise.
 
 
 
 
 
Best Features of Brand24
 
     
  • It has the ability to access over 25 million online resources.
    •  
  • It can analyze your brand and track it 24/7.
    •  
  • It measures your reach and mentions it statistically.
    •  
  • It also provides informative data about customers in the form of their likings and disliking.
    •  
  • It also measures hashtags’ volume and reaches.
    •  
 
 
 
 
INK
 
INK helps optimize your content using an AI SEO assistant and copywriting tool. As a result, you can easily optimize your content for different search engines. You can write both short and long-form descriptions for your products or services. It also helps to analyze AI-written content and makes it unique and readable. Users can also find the most suitable keywords using this platform. It is a must-have marketing tool for your business.
 
 
 
 
 
 
Best Features of INK.
 
     
  • It is an all-in-one content solution for your content.
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  • It can create optimized and resizable images.
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  • It can simplify sentences and fix grammatical errors.
    •  
  • It helps to generate engaging content.
    •  
  • It also performs keyword research.
    •  
  • It has different writing modes, such as Colorblind and Dyslexia.
    •  
 
 
 
 
An Additional and one of the Important AI Marketing Tools
 
 
Grammarly
 
Grammarly is one the most potent AI writing tools that check grammar and spelling mistakes, making your content professional and engaging. Many businesses and professionals are using Grammarly. You can polish your entire content before sending or publishing it. Moreover, you can easily use it, which goes well with different apps such as WhatsApp, Gmail, LinkedIn, and more. You can buy its full features to get fantastic service. However, you can use its free version also.
 
 
 
 
 
Best Features of Grammarly
 
     
  • It is real-time writing assistance.
    •  
  • It can go well with different sites and apps across other devices.
    •  
  • It is mobile and desktop-friendly.
    •  
  • It has a built-in plagiarism checker.
    •  
 
 
 
 
Conclusion
 
Businesses have long relied on AI marketing and machine learning to streamline operations, boost revenue, and save time. But, in today’s rapidly evolving digital landscape, AI-powered tools have become essential for maintaining a competitive advantage. AI tools have significantly minimized human intervention, reducing the cost of retaining employees for numerous tasks. As AI marketing tools continue to improve and evolve, they can assist you in meeting all your marketing requirements and establishing a sustainable business.
 
 
 
Need Help or Advice in Content Management:
 
Would you like more advice? Do you have good practices to share? Express yourself in the comments.
 
Also, if you want help writing content to drive more traffic and boost conversions, please get in touch through Contact our team.
 
Do you want help writing quality content, driving traffic to your website, and boosting conversions? You can contact me through my Freelancer.com profile also. I always prefer to work through Wiselancer for smooth functioning. Here you pay safely and securely. 
 
 
 
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  IoT & Big Data  
 
 
Artificial IntelligenceBusinessGig EconomyManagementMarketingScholarlyTrendingWriting
 
IoT and Big Data | The Future Looks Bright
 
 by Shamsul   
 
 
 
 
 
IoT and Big Data | The Future Looks Bright
  
Connected watches, smart clothes, autonomous cars, smart cities. Welcome to the era of “everything connected”! In recent years, the IoT has revolutionized our daily lives. All sectors are concerned about health, transport, logistics, environment, sport, and automotive. The development of connected devices is accompanied by increased production of data. Big Data and IoT, therefore, go hand in hand.
 
But what is the IoT? How is it related to Big Data? What future for technologies associated with IoT and Big Data?
 
 
What is IoT?
 

Thanks to a set of electronic components (mainly chips and sensors), it is now possible to connect many physical or virtual objects to the internet in order to collect, store and transfer the data generated. It is called the IoT or the Internet of Things.
 
The IoT system allows, among other things, to control environmental data such as temperature or air quality, monitor heart rate, find the best road route, and optimize agricultural productivity. In short, its applications are endless.
 
On the business side, the benefits of the IoT are just as numerous: savings, time savings, efficient management of operations, improvement of the customer experience, and increased productivity. The IoT is a real strategic challenge for companies.
 
 
What is Big Data?
 

The advent of social networks and new information and communication technologies has increased data production tenfold. Too massive to be handled by conventional processing tools, so this “big data” requires appropriate analytical technologies.
 
Big Data has three significant characteristics:
 
1- The Velocity, corresponding to the data processing speed,
2- The Volume, designating the amount of information generated,
3- Variety refers to the diversity of data collected.
 
 
IoT and Big Data: Two Interdependent Systems
 

Equipped with chips, sensors, and/or cameras, connected objects capture, record and transmit a colossal amount of unstructured data in real-time. Given their huge volume, this big data is processed using Big Data analytical tools such as Hadoop, Rapiminder, Spark or Storm. To be usable, the data generated will therefore undergo a process comprising different stages, during which they will be collected, stored, and then analyzed before being transformed into intelligible data.
 
Therefore, IoT and Big Data are complementary: the data produced by connected devices helps to generously feed the Big Data system while Big Data technologies make it possible to convert this data into useful and understandable information.
 
 
What is the Future of IoT and Big Data?
 

The IoT is a growing phenomenon. According to an estimate by the Statista Group, nearly 29 billion connected devices will be active globally in 2030, almost three times more than in 2020. At the same time, the data generated will also grow exponentially, reaching 73.1 ZB by 2025, a 422% increase from 2019, according to IDC. This rise of the IoT will require the implementation of innovative Big Data solutions capable of supporting the massive volume of data generated. In this context of expansion, companies are increasingly turning to data specialists to optimize their data management.
 
Training in data professions, therefore, means moving towards a sector of the future and having the guarantee of entering the job market quickly.
 
Are you interested in data science, artificial intelligence, big data engineering or data analysis? Join Tech Institute and advance your career!
 
A piece of advice? Questions? Contact us.
 
 
 
Need Help or Advice in Academic Writing  
 
See Samples
 
https://independent.academia.edu/shamsulIslam8
 
Would you like more advice? Do you have good practices to share? Please feel free to express yourself in the comments. Also, if you want help in writing content to drive more traffic and boost conversions, please get in touch through Contact our team or send your requirements here.
 
 
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  Tools to Improve Business  
 
 
Artificial IntelligenceBetter TipsBusinessEarn MoneyManagementMarketingSocial MediaTop 10Writing
 
15 Online Tools to Improve Business and Yield
 
 by Shamsul   
 
 
 
 
 
 
15 Online Tools to Grow Business and Improve Productivity
  
Growing your business is not that easy as it seems. It has become more challenging to improve the productivity of your business due to economic upheaval. Whether you are a novice online coach or a pro, using some essential online tools is imperative to grow your business. Hundreds of amazing online tools and sites can boost your business performance and productivity. Today, we will share the list of 15 best online tools. All of them are tried and tested.
 
No matter how much you earn from online coaching, investing in smart online coaching tools and platforms is vital to increase your revenue stream. When you have these online tools in your mind, you will easily find out what you need to take your business one step ahead. Bonus, most of the tools are free of cost. Meaning you can use them without paying anything.
 
 
Why are Online Tools Important?
 
 
Online tools can do wonders when it comes to maintaining your business without any fuss. They give you a clear idea of running your business smoothly. You can solve your customers’ problems more efficiently when you have access to these online tools. From onboarding your clients to receiving payments and getting organized, online tools can help in different ways. As a result, you can promote your business with no trouble.
 
 
Calendly
 
It is very easy to book your coaching sessions with the help of Calendly because it is a popular scheduling platform. They collaborate with different platforms such as Calendly to provide better performance to users. You don’t need to pay anything because it is totally free. If you don’t want to use Calendly, then Google Calendar is the perfect substitute.
 
 
Podia
 
Through Podia, you can sell digital products, online courses, memberships, and coaching sessions. Many bloggers like this amazing tool to earn money because it offers everything to them. You can boost your revenue stream with ease using this platform. You can sell your coaching services. Plus, it also stores your payment records.
 
 
Paperbell
 
Want to manage your calendar free of cost? Consider Paperbell, which is one of the latest platforms for managing, booking and getting paid. From classes to coaching sessions and contract signing, it can help you in various ways. It is the perfect alternative if you don’t sell online courses. There are no signup charges but you have to pay after using one month.
 
 
Zoom
 
During Covid-19, this platform gained maximum popularity. It is a video call platform for one-on-one meetings. It is easy to use and you can deliver your coaching sessions online through this platform. Plus, it also allows you to share your screen if you are giving a presentation. On the other hand, it also provides recording facilities to users.
 
 
Google Workspace
 
Keep your business documents in one place with the aid of Google Workspace. This platform is very versatile because it features Google Docs, Google Sheets, Google Drive, Google Meet, and many more. You just have to create your account to get all these services without any cost. Moreover, free versions are enough to fulfill daily tasks, but some professional suites are available for businesses and companies.
 
 
Airtable
 
Another useful tool for managing programs, to-do lists and projects is Airtable. Many professional online coaches use this program for managing different projects. The best thing about this online tool is that it is free and works on mobile and desktop. Plus, it is very easy to use. In a nutshell, you will get countless workspaces and bases.
 
 
Freshbooks
 
Tracking your income and expenditures will be easier with Freshbooks. Many bloggers and online businesses love this tool. They just require a very reasonable monthly fee and you will get their awesome accounting services. It is a must-have for bloggers and coaches. You can use it through your mobile device and desktop. You will surely fall in love with this online business tool.
 
 
Stripe
 
There are many payment processing tools, but Stripe is one of the best platforms. It works like PayPal because it accepts your credit cards as well. Plus, it is a powerful platform for those who are running an online business. Moreover, it is compatible with a range of platforms and tools. So, it is super easy to use.
 
 
Coaching Agreement Template
 
It is important to protect your business and clients legally and financially if you are running an online business. For this purpose, you must have a coaching agreement in your hand. It will help to define your and your client’s limitations. This agreement aims to offer your services at a specific price. If you don’t have money to get this agreement from a lawyer, you can just consider the Coaching Agreement Template. It is ideal for protecting your business from getting sued. This kind of investment is necessary to run your business smoothly.
 
 
HelloSign
 
After getting your coaching agreement, you need to sign it with your client. If you are wondering how to sign a soft copy, then you can get help from HelloSign. This tool generates electronic signatures along with the date. So you can file it without any worries. The company offers a free trial but you have to pay a minimal amount after one month of use. If you deal with different types of clients, then this tool is extremely useful for you.
 
 
Planoly
 
Sparking the interest of clients is a challenging task. You promote yourself and your brand on different platforms such as Instagram, Facebook, etc., to get the attention of potential clients. Posting content on Instagram takes so much time and effort. However, you can make your posts aesthetically appealing using Planoly. You can effortlessly design any theme for the post you will post on Instagram. This online tool is also very helpful in planning captions and scheduling tasks. This online tool is a must-have for everyone wanting to grow their Instagram audience.
 
 
Self-Hosted Blog
 
Want to promote your coaching business without breaking your pocket? Exploiting a self-hosted blog will help you to promote your content on your site and other social media platforms. By using this tool, your blog will get the right attention from the clients. You can showcase your services to them by telling them how you can provide assistance.
 
 
Grammarly
 
People like well-written content. In the category of coaching tools, Grammarly leads in the chart. This app is also free for users, but the paid version is excellent for professionals. You can check your grammar mistakes, spelling errors and even get suggestions to make your blog interesting and appealing. As a result, you can show your capabilities in a better way.
 
 
Canva Pro
 
Whether you are a coach or blogger, you must use Canva Pro. It allows you to design and manage your client courses, workbooks, and welcome packages. It also has the ability to design your visuals for social media platforms such as Facebook, Instagram and more. There is no need to take the tension of posting because you can set scheduling posts with this tool. In this way, you can effortlessly manage your social media blogs.
 
 
Facebook Page – Messenger
 
A Facebook page is essential for every online business because it is one of the most popular online coaching tools. Connecting with your audience through a Facebook page or Messenger is super easy. As a result, you can manage your profile and social profile without any hassle. A Facebook Messenger will also allow you to communicate with your clients during a coaching session. This tool will help you to grow and promote your online business.
 
 
 
 
 
Need Help or Advice in Content Management:
 
Would you like more advice? Do you have good practices to share? Express yourself in the comments.
 
Also, if you want help writing content to drive more traffic and boost conversions, please get in touch through Contact our team.
 
Do you want help writing quality content, driving traffic to your website, and boosting conversions? You can contact me through my Freelancer.com profile also. I always prefer to work through Wiselancer for smooth functioning. Here you pay safely and securely. 
 
 
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  ChatGPT Use  
 
 
Artificial IntelligenceBetter TipsBusinessManagementMarketingTop 10TrendingWriting
 
How to Use ChatGPT – 10 Sample Questions to Ask
 
 by Shamsul   
 
 
 
 
 
 
How to Use ChatGPT – 10 Sample Questions to Ask
 
  

Find out how to use ChatGPT, the OpenAI chatbot that answers your questions using artificial intelligence.
 
Have you heard of ChatGPT and want to test the capabilities of this artificial intelligence text generator? So far, the OpenAI chatbot is accessible for free. To use ChatGPT, simply go to the dedicated page on the Open AI site, click on Try ChatGPT to connect.
 
To help you use ChatGPT, we have selected 10 types of questions you can ask it. The idea here is to make you discover the possibilities offered by ChatGPT to increase productivity or find inspiration, but without abusing it of course.
 
 
1- Can You Come Up with Content Ideas?
 

ChatGPT can generate ideas on any topic you want to help you find inspiration. As you can see below, the OpenAI chatbot is able to make numbered lists, which comes in handy when reading.
 
Provides Content Ideas
 
 
2- Can You Give me a Summary of This Text?
 

Another nice feature: you can copy a too long text and ask ChatGPT to summarize it. This can be interesting if, for example, you want to summarize a meeting report. If you want a specific limit, you can ask him to summarize in 5 key points for example or require him to limit himself to a certain number of sentences.
 
Provides Content Ideas
 
 
3- Can You Give me Ideas From this Text?
 

You can ask ChatGPT to provide you with other ideas from the first idea. In the example below, we provide an example article title. It offers a first list of titles that begins with verbs in the imperative. We ask him to adjust the wording. This is also one of the advantages of the chatbot: it is able to adjust its answers according to your details as the conversation progresses.
 
Enhance Existing Text
 
 
4- Can You Write an Email Template?
 

You need to write a professional email but you are not sure which formulations to adopt. ChatGPT can offer you email templates to help you write the content of your message.
 
Write Email
 
 
5- Can You Give me Your Expertise on this Subject?
 

Need expertise on a subject? You can ask ChatGPT to explain a concept to you, give you a definition of a specific word, explain the difference between two terms, etc.
 
ChatGPT Ask Explanation
 
 
6- Can You Solve This Calculation?
 

ChatGPT also acts as a calculator. You can ask him to perform small math calculations. A reader pointed out to us that if the calculation is too complex, it is possible that ChatGPT provides a result approaching the truth but approximate. We’ll let you test…
 
For Calculation
 
 
7- Can You Generate Code?
 

A news that will please developers: ChatGPT can help you generate code in your programming language and you can easily copy the code through the ChatGPT interface. And even better: it can help you identify a bug in your code, saving you time and stress!
 
To Generate Code
 
 
8- Can You Help me with SEO?
 

It is true that ChatGPT can be of great help to SEO experts. SEO professionals have also started to take a serious look at the subject. It is possible to ask him for ideas for SEO article titles based on a specific subject, for example, or to find a list of questions that Internet users are asking on a specific subject.
 
Provide Ideas for SEO 
 
 
9- Can You Make To Do List?
 

ChatGPT can also draw up a list of things to remember when going on vacation to a particular destination or when buying real estate, for example (see below). This can be practical to be sure not to omit anything and to find yourself in the best conditions.
 
To Do List
 
 
Can You Invent a Story?
 

To end on a more playful note, you can also ask him to tell you a story with characters in a specific place or not. ChatGPT can also be a modern-day storyteller… It’s up to you to test!
 
Invent Story
 
 
 
Need Help or Advice in Content Management:
 
Would you like more advice? Do you have good practices to share? Express yourself in the comments.
 
Also, if you want help writing content to drive more traffic and boost conversions, please get in touch through Contact our team.
 
Do you want help writing quality content, driving traffic to your website, and boosting conversions? You can contact me through my Freelancer.com profile also. I always prefer to work through Wiselancer for smooth functioning. Here you pay safely and securely. 
 
 
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