11 Surefire Ways To Fail With AI
CIO, Monday, March 17th, 2025
From downplaying data management to underestimating the importance of measuring outcomes, too many AI projects suffer from key strategic oversights and mistakes.
Enterprises are investing a lot of money in artificial intelligence tools, services, and in-house strategies. But unfortunately, big outlays don't guarantee success.
'AI is everywhere - transforming industries, reshaping workflows, and promising a future of limitless possibilities,' says Paul Pallath, vice president of applied AI at technology consulting firm Searce. 'But for every AI success story, there's a silent failure: expensive pilots that never scale, models that reinforce bias, and systems that become obsolete within months.'