machine learning

Embracing the Future of Work: Why Generative AI and Machine Learning Won’t Eliminate All Jobs

The rise of Generative AI (GenAI) and Machine Learning (ML) has led to both excitement and concern across industries. While these technologies promise to streamline processes and unlock new possibilities, they also spark fears about potential job losses, especially for roles centered around routine, repetitive tasks. However, history has shown us that technological advancements do not necessarily eliminate jobs—they change the job landscape. This article explores why not all jobs will disappear, highlighting the importance […]

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Promoting the AI Canvas: Reducing AI Project Failures in Business

Artificial Intelligence (AI) holds immense potential to revolutionize the business landscape. However, despite the promising capabilities of AI, many businesses struggle to implement it effectively. A significant number of AI projects fail to deliver the expected results, often due to poor planning, execution, and understanding of how AI fits into the business context. To address these challenges, Professor Ajay Agrawal has introduced the AI Canvas methodology—a systematic approach to applying AI in the business world.

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