Nearly all data leaders (95%) admit they lack full visibility into AI decision-making, according to Dataiku’s “Global AI Confessions Report: Data Leaders Edition.”
“An alarming revelation of the report is that enterprises worldwide are betting on AI they don’t fully trust. The good news is that most failed AI initiatives face common blockers that can be overcome with greater explainability, traceability, and governance. That’s how AI moves from hype to real business impact,” explained Florian Douetteau, co-founder and CEO of Dataiku.
AI confessions
The report also found that respondents are concerned about governance gaps, lack of explainability, and misplaced confidence. Despite this, the majority (86%) of respondents still estimate that AI has become embedded into their daily operations.
Only 19% of data leaders always require AI agents to “show their work” before approval. Due to explainability concerns, over half (52%) have delayed or completely blocked agent deployments.
Almost half (46%) are most likely to be credited for AI gains, but 56% are most likely to be blamed for business losses due to failed AI.
Some 60% fear job risks if AI doesn’t deliver measurable results within two years.
The report, conducted by The Harris Poll for Dataiku, surveyed 800+ senior data executives across the U.S., U.K., France, Germany, UAE, Japan, Singapore, and South Korea.
