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1、Global AI Confessions Report:Data Leaders EditionDATAIKU/HARRIS POLL SURVEYExecutive SummaryThe Global AI Confessions Report:Data Leaders Edition from Dataiku,based on a Harris Poll survey of 800 data leaders worldwide,reinforces a key notion:AI agents are no longer experimental.A staggering 86%say

2、their organizations now rely on agents in daily operations,with nearly half(42%)embedding them so deeply that dozens of core processes depend on them.Yet beneath this rapid adoption lies a revealing tension:Leaders admit significant gaps in trust,explainability,and readiness that combine to inhibit

3、AI performance and impede rollouts at scale.Agents in Action,Trust in QuestionTwo-thirds of data leaders(64%)say their companys AI agents are better at automating operational tasks than at making analytical,higher-order business judgements.This reveals a serious lag in operationalizing AI for critic

4、al business decisions.Why?Data leaders admit to a pervasive lack of confidence in explainability and accuracy of answers generated by their AI systems and apps,because they either dont require or simply cannot explain how their AI generated its outputs.Only one in five(a mere 19%)always requires age

5、nts to“show their work,”and the vast majority,95%,shockingly admit they could not fully trace AI decisions end-to-end if they were asked to provide this reasoning to regulators.In fact,just 11%would consider AI agents for any business function,including sensitive,high-stakes functions like hiring,co

6、mpliance,or ethical decisions.That disconnect highlights the core issue:While AI is fast becoming the default for automating repetitive work,leaders lack the conviction it can be trusted with critical business decisions where the technology can become truly transformative.And the stakes are personal