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.

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 ...

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

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 ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. While 2023 was the year of awe and possibility with generative AI, 2024 was the year when ...