📉 AI Project Failures: Internal Gaps vs. Vendor Expertise

The widespread adoption of Artificial Intelligence (AI) and Machine Learning (ML) technologies is marked by a profound paradox: unprecedented investment coupled with alarmingly high project failure rates. While AI is viewed as a strategic imperative, a staggering 70-85% of AI projects fail to deliver expected outcomes, significantly higher than traditional IT project failure rates. This pervasive failure translates into massive financial losses, exemplified by cases like IBM Watson for Oncolo...