This week, an exercise in separating truth from hype. I am old enough to remember when generative AI (genAI) was the best thing since sliced bread — destined to solve any and all problems. But CIO.com ...

Many financial institutions struggle to scale AI because they lack clear goals, trusted data and governance frameworks.

Even as we emerge from generative AI’s tire-kicking phase, it’s still true that many (most?) enterprise artificial intelligence and machine learning projects will derail before delivering real value.

New Report Analyzes 195 Executive Interviews and 48 Verified Delivery Failure Narratives to Uncover Why Software Projects Collapse, and How High-Performing Teams Recover Before Losses Escalate Rather ...

Executives have poured billions into artificial intelligence, only to discover that most of those projects never make it past the pilot stage or fail to deliver meaningful returns. A recent wave of ...

Virtually every organization is trying its hand at AI, yet very few are seeing the payoff. Despite massive investment, most organizations aren’t seeing the results they were hoping for. According to ...

Organisations racing to implement generative AI (GenAI) find themselves caught between the pressure to innovate and the reality of what it takes to actually do so. As a result, Gartner research found ...

Nino Letteriello is a data and project management leader, DAMA Award winner, WEF author, UN advisor, MIT lecturer & FIT Group co-founder. A significant percentage of data science projects continue to ...