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Implementation rarely fails because of technology. It usually struggles because organisations prepare systems before preparing people for meaningful AI adoption. My aim is 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 b

The recent arrival of Disclosure Day (https://www.disclosuredaymovie.com/watch-more) inspired an interesting thought. The concept of disclosure is pretty straightforward. Hidden things become revealed. Ignored issues become obvious. Unspoken assumptions become questioned. For decades, films used the notion of disclosure to examine major shifts in human perception. Whatever it was about – space exploration, government secrets, scientific discoveries, technological progress – t

Why publish a paper on SSRN before a journal? Because some ideas deserve to start a conversation before they become a finished piece of research. SSRN (Social Science Research Network) is one of the world's leading repositories for working papers and early-stage research. It allows researchers to share new ideas, receive feedback, and stimulate future academic and professional research. My latest working paper explores a question that I believe organisations will increasingl

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