Too many AI projects stall because organizations fall in love with the technology, not the outcome. Real transformation only happens when projects are anchored in a clear business plan with measurable ...

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.

Here, I'd like to examine the reasons behind AI startup failures and how venture investors should reconsider their approach ...

Although 95% of AI projects fail, research shows that successful initiatives focus on infrastructure. Top hurdles include poor integration, lack of skill sets, and difficulty building in-house AI ...

A recent study shows over 80% of AI projects fail, with only 14% of companies ready to adopt AI, which suggests that the Gen AI could be a flop. However, Microsoft is heavily dependent on Gen AI ...