How CIOs use AI to better manage data lifecycles
Executive Take
AI will not fix bad data management on its own, it just speeds up whatever process you already have. Leaders who skip the governance and trust work first will automate their data mess faster, not fix it.
Executive Summary
Gartner says two-thirds of organizations are unsure their data practices are ready for AI, and predicts 60% of AI projects will be abandoned this year due to poor data readiness. CIOs at Volvo Cars, Sanofi, Harvey Nash, AOP Health, DP World Tour, and Freshworks describe using AI to tag, clean, and surface gaps in data, while stopping short of full automation in regulated areas like clinical trials.
Why It Matters
Technology and AI leaders should care because Gartner's 60% project failure prediction is tied directly to data readiness, not model quality. GCC and enterprise leaders running shared data operations face the same governance gap before scaling agentic AI.
Bizquad Perspective
The real bottleneck isn't AI capability, it's that most companies still don't agree internally on what their data fields actually mean, and no model fixes that.