Artificial intelligence is transforming the way organizations compete—but the secret isn’t just in the algorithm. It’s in the data you feed it. According to the 2025 Data Integrity Trends and Insights report, 88% of companies say their data isn’t ready for AI, citing quality gaps, weak governance, or insufficient training data.

In this on-demand session, Precisely and CDO Magazine explore 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, well-governed, and enriched with curated third-party and spatial data to reduce bias and improve accuracy.
• AI-driven Data Management: Use AI to accelerate discovery, preparation, and governance—so reliable data reaches your models faster, freeing your teams to focus on innovation.
• AI Governance: Bring clarity and accountability to model development, deployment, and monitoring in a shifting regulatory landscape.
• Practical Readiness Framework: Identify gaps, build a clear roadmap, and scale AI efforts with confidence.
  

Key Takeaways:

• How to prepare your data and teams for enterprise-wide AI
• Strategies to transform trusted data into trusted AI
• Steps to implement AI governance and ensure model accountability
  

Speakers:

• Simi George, Head of Data Science & Strategy, The Doctors Company
• Shanthi Pudota, SVP, CDAO, Bank of Oklahoma
• Saba Dossani, CDAO, Comerica Bank
• Charu Mehta, Global Product Head, AI & Data Strategy & Management, MasterCard
• Moderated by: Antonio Cotroneo, Director, Product Marketing, Precisely