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 ...

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 ...

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

UNESCO has stepped up its push for ethical use of artificial intelligence (AI) in classrooms with a dynamic workshop at its Digital Learning Week. The session, “AI in Action: Project-based Learning ...