DigitalHub0704 – Artificial Intelligence &Technology Education

 Introduction With the rapid pace of advancements in Artificial Intelligence (AI), people and organizations around the world are left with a burning question in their minds: What will be the skill in 2026 and beyond, since machines are already capable of writing, programming, design, data analysis, and even reasoning? The key is not a technology itself, a programming language, or an artificial intelligence platform. Rather, the key skill in the year 2026 will be a combination of artificial intelligence literacy and human judgment. People will need to be able to comprehend and direct artificial intelligence. This piece will show that the key competency of the AI era is Human AI Collaboration, and it encompasses skills drawn from multiple disciplines, including critical thinking, knowledge of a specific field, ethical thinking, and AI skills. Even as AI technology advances in its capabilities, it remains a tool and not the decision-maker. Individuals with the ability to collaborate ...

  A Management-Focused Perspective on AI Intelligence Tools and Team Performance As artificial intelligence becomes embedded in everyday organizational workflows, managers are increasingly required to understand not just what AI can do , but which tools are appropriate for which managerial objectives . Two AI systems frequently mentioned in current discussions— Perplexity AI and Veo 3 —represent very different categories of artificial intelligence, yet both influence how teams work, communicate, and deliver outcomes. Understanding their differences is essential for managers seeking to improve team performance, decision quality, and operational efficiency. Understanding Perplexity AI Perplexity AI can be defined as an artificial intelligence-powered research and intelligence assistant. In contrast to traditional search engines, which offer a list of links, Perplexity compiles the answers in a direct, structured, and cited manner. This is made possible through large language mo...

 Artificial intelligence was no longer limited to research and technology departments. This technology existed as a useful tool in administration and was actively transforming methods of team leadership and assessment in organizations. Although public discourse may passionately debate issues related to AI and job replacement, another revolution is taking place in corporations that may seem equally quiet yet spectacular in its own way: managers are making use of AI intelligence in improving team performance. Instead of displacing managers, AI is rapidly becoming more of a management support tool—one which offers insight, predictions, and recommendations, which were either impossible or took altogether too long to come up with. This, in turn, is completely changing the nature of leadership. 1. Data-Driven Performance Monitoring and Feedback Traditional performance management involved periodic reviews, judgments, and the possibility of limited data. However, technology has evolved th...

Introduction: AI Is Not Built by Engineers Alone The tech firms building artificial intelligence tools appear to be driven largely by their software engineers and data scientists. Of course, these tech experts play a crucial role in these companies. However, this model neglects an important aspect. AI technologies involve complex products which operate within a broader organization, market, and society. Moreover, their success requires a diverse set of individuals who are not programming experts. With the evolution of AI from research models to practical applications, non-coding jobs in the sector keep growing in number and relevance. Knowledge of non-coding jobs is critical for anyone seeking a career in AI but cannot code. Why Non-Coding Roles Matter in AI Organizations The challenge faced during AI development is not only technical, it is business, ethical, legal, and social as well. The non-coding professionals have a fundamental role regarding: Putting Business Issues into the Us...

Introduction: AI’s Growing Role in the Legal Profession Artificial Intelligence is transforming the legal world at a fast pace. From document analysis and legal research to analyzing contracts and litigations, Legal AI offers the potential to increase efficiency, minimize costs, and maximize accuracy. Given the growing challenge of dealing with complex lawsuits on a tight deadline and tight budget, AI-powered solutions for the legal world are hard to overlook. Nonetheless, the use of Legal AI precipitates an important consideration: are such solutions safe and reliable in law firms? The response has both aspects. The use of Legal AI has numerous benefits, but its safety and reliability are dependent on the implementation and monitoring of the technology by lawyers. What Are Legal AI Tools? Legal AI tools describe software that utilizes machine learning and NLP in data analytics to aid in legal work. Some such applications include: Legal research and case law analysis Contract revi...

  Management Education & Artificial Intelligence Introduction: The Convergence of Management, Data, and Intelligence The world of business decision-making is under a paradigm shift. The traditional intuition of management is being replaced or accompanied by data-driven insights, predictive analytics, and artificial intelligence (AI). The rising trends of analytics and AI in organizations mean an accelerating requirement of professionals who understand the intersection of business strategy and intelligent technologies. An MBA in Business Intelligence and Artificial Intelligence can be seen as an answer to the change that has occurred. It brings together the skills that every manager needs to possess. ASBM University’s MBA in Business Intelligence and AI has been developed to keep the needs of future managers and leaders in focus to capitalize on the change that has occurred. Understanding the Role of Business Intelligence and AI in Modern Organizations Business Intelligence invo...

Introduction: From Experimental Gadgets to Everyday Interfaces Smart glasses have been in a state of technological anticipation for over a decade now. The earlier versions of smart glasses presented revolutionary possibilities but faced many issues such as technological hurdles of hardware capacity, battery life, privacy issues, and lack of customer value. But the market scenario for smart glasses changed in the middle of the 2020s, with technological leaps in the fields of AI, optics, edge computing, and wearable technology helping the adoption of smart glasses. By 2027, smart glasses are poised to go well beyond gimmicks and niche business applications. Rather, they seem poised to enter an era in which they can serve as functional, context-aware interfaces that integrate technological intelligence seamlessly into everyday life. The future of smart glasses seems to lie not in whether it will work, but in how it will work and how it will work well. Hardware Evolution: Lighter, Smarte...

Introduction: From Storage to Strategic Intelligence  The media and entertainment sector is undergoing a paradigm shift because of the onset of artificial intelligence. What were considered passive media archives, mainly for storage and sometimes for reusing the assets, are now becoming active and optimized assets with the use of artificial intelligence. With the amount of content growing at an unprecedented level, Artificial Intelligence-based Media Archives are now being considered as priorities and not merely as back-office infrastructure. The question on the table then has shifted from whether AI should be applied in media archives to the extent organizations can quickly upgrade their systems to stay competitive. The end game in most M&E sectors is now clear: AI-based media archives are at the top of the list. The Content Explosion Problem The media companies are also producing and buying content at an unprecedented rate in history. The high-quality video formats (4K, 8K)...