Webinar

How to Bridge the Gap Between Ambition and AI Reality

Artificial intelligence is transforming how organizations compete, but the secret isn’t the algorithm—it’s the data you feed it. The 2025 Data Integrity Trends and Insights report found that 88% of companies say their data isn’t ready for AI—most cite quality gaps, weak governance, or not enough training data.

In this session, Precisely and CDO Magazine dig into what it really takes to get AI working at scale:

  • Data Integrity for AI – break down silos so critical data flows where it’s needed, keep it clean and well-governed, and enrich it with curated third-party and spatial data to cut bias and boost accuracy
  • AI-driven data management – use AI to speed up discovery, preparation, and governance so reliable data reaches models faster while teams spend less time on manual fixes and more on innovation
  • AI Governance – bring clarity and accountability to how models are built, deployed, and monitored in a shifting regulatory landscape
  • A practical readiness framework – identify the gaps, build a clear roadmap, and scale AI efforts with confidence

You’ll leave with a grounded understanding of how to prepare your data—and your teams—for enterprise-wide AI, transforming trusted data into trusted AI.

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