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AI governance begins with shared responsibility.

Even strong rules will fail if the business sees data as IT’s responsibility alone.

Gartner predicts that by 2027, 60% of organisations that ignore cultural barriers in data governance will fail to govern AI successfully. This is a forecast, not an observed failure rate.

Key takeaways

  • In a survey of 223 data and analytics leaders, cultural resistance was cited as a leading cause of failed initiatives more often than limited funding: 60% versus 40%.
  • Gartner recommends connecting data governance to measurable business outcomes and strategic objectives.
  • Business and technology teams should share responsibility.
  • Data literacy, AI literacy and change-management skills need to be embedded in daily work.

What this means for CEOs

Editorial takeaway: before approving another AI policy, define decision owners, working relationships and the outcome for which they are accountable.

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