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Another recognition for my work and research in Generative AI, from THINKERS360

AI implementations usually succeed for other reasons. It usually struggles because organisations prepare systems before they prepare people for meaningful AI adoption. I aim not to suggest that technology is less important but to encourage a broader discussion about where successful AI implementation really begins. The answer may depend less on the technology organisations buy and more on the people they recruit, develop and support. The role of artificial intelligence on the

Every year, organisations shell out millions on AI. There are new pilots, some proof-of-concept projects pass the testing phase at the yes-men level, and budgets expand. Senior management continues to seek out that next big thing which will change their business forever – if it only works as promised, or even close to it! It asks the question of a future, which, naturally enough in matters like this one, should also accompany uncertainty. But lately I began to wonder whether

The experience of using a vehicle with automatic gears came with ambivalence and excitement. On one hand, it was pleasantly easy and less physically and psychologically demanding. I understood why many people like their cars to be automatic. On the other hand, it was also associated with fears that some aspects of my driving skills could atrophy over time due to automation. Moreover, there were worries that a person might become overconfident due to automation. Interestingly,

Decades ago, organisations often achieved success through a relatively simple management concept: delegation. Management set objectives; managers assigned responsibilities; people executed. And success was all about how well things got delegated, monitored, and done. This worked great, as most of the information analysis, decision-making, monitoring and execution relied on people. Today, artificial intelligence seems to challenge some of these fundamental premises. In many wa

Each police force employs dedicated units to deal with cold cases. They do not work on active cases but re-examine cases that remain unsolved and in which available evidence does not provide any clear answers. Moreover, the passing of time might have blurred the facts rather than brought more clarity. I am starting to view dormant AI pilots as cold cases in the same manner. In recent years, a plethora of AI pilots, proofs of concept, and other experiments have been carried ou