Oliver’s article “AI’s Reality Check: When the Hype Train Hits a Brick Wall” looks at how AI projects are struggling to deliver expected benefits due to complexity, cost, time, technical challenges, and market dynamics. And how a fundamental shift in perspective is needed: AI should be viewed as a tool to enhance human productivity, not as a replacement for humans.
Read about how successful AI projects incorporate humans at critical junctures, such as problem definition, data preparation, model training, output validation, and ethical oversight.