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The Data & AI Trust Paradox: Preparing for Responsible, AI-Ready Outcomes | Watch Now

Gain the strategic insights needed to achieve new value while mitigating the risks of unexpected AI outcomes.

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Written by: CDO Magazine Bureau

Updated 4:00 PM UTC, February 20, 2026

Artificial Intelligence has moved past the pilot phase and into the gritty reality of enterprise-wide scaling. But as adoption accelerates, a critical Trust Paradox has emerged: employees show high trust in AI data, while Chief Data Officers (CDOs) remain concerned about literacy gaps and governance “blind spots.”

In this session, CDO Magazine convenes a panel of industry leaders to unpack the latest Wakefield Research findings from the CDO Insights 2026 survey. This discussion provides a roadmap for data leaders tasked with balancing rapid innovation with long-term risk management.

What you will learn

In this session, our experts dive deep into the grit of enterprise scaling, covering:

  • The literacy trap: Why “blind confidence” in AI is a governance nightmare and how to bridge the upskilling gap.
  • Governance TCO: Analyzing consolidation vs. multi-vendor complexity and its impact on sustainability.
  • Scaling the fundamentals: Why data quality and security are non-negotiable for AI-ready outcomes.
  • The unstructured goldmine: How to unlock AI and analytics potential while maintaining strict privacy compliance.
  • Driving loyalty: Using customer experience as a leading AI outcome while safeguarding trust.

The expert panel

  • Haroon Abbu – SVP, Digital Technology & Data Analytics, Bell & Howell
  • Vibhor Gupta – VP-Enterprise Data, Shelter Insurance
  • Nathan Turajski – Sr. Director, Product Marketing, Informatica
  • Wout Vandegaer – Managing Director, Deloitte (Sponsor of the CDO Insights 2026 survey)
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March 19, 2026  |  In Person

Atlanta Leadership Summit

The Westin Atlanta Perimeter North

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