Common Costly Mistakes in AI Implementation - and How to Avoid Them!

Most AI Projects FAIL

According to research from RAND Corporation, Gartner, and MIT, it is estimated that between 70% and 85% of AI projects fail to meet their goals — costing billions in wasted investment.

Many businesses make avoidable and costly mistakes when trying to implement Artificial Intelligence. AI projects are often seen as technology initiatives - but in reality, they are so much more than that! Many fail not because of technical shortcomings, but due to factors like unclear strategy, insufficient cultural readiness, weak governance, poor planning, misalignment across teams and ethical concerns.

Successful AI implementation is a business transformation effort - not just a technical one. It's also worth noting that many of the most successful AI projects focus on augmenting human capabilities - not replacing them.

Discover here the most common mistakes businesses make — and the actions that can prevent them!

SHOCKING FACT: