On-Demand Webinar

Unlocking Data Trust for AI: What Every Leader Needs to Know in 2026

See how data trust enables AI at scale – with emerging trends in banking, insurance, health care and government

On-Demand (Originally presented: Jan. 20, 2026)

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About the webinar

AI-driven transformation is here – but without trusted data, even the best models fall flat. This session explores the trends reshaping data management in 2026, as organizations realize that in the AI era, it’s “garbage in, garbage scaled.” We’ll also highlight how trusted data drives more accurate and reliable AI-driven decisions.

You’ll walk away with industry benchmarks, an actionable playbook and a fresh perspective on how to prepare your data foundation for what’s next. If trust, compliance or AI readiness are priorities for 2026, you don’t want to miss this session.

Learn more about:

Whether you’re a chief data officer, AI strategy leader or governance expert, you’ll learn:

  • What’s driving the data trust gap in your sector – and how peers are closing it to accelerate AI deployment.
  • Key strategies and architectures leading organizations are adopting to automate governance, ensure lineage and scale AI safely.
  • Emerging forces to watch – from data contracts and observability to composable platforms uniting data, analytics and machine learning.

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About the experts


Mark Hiew

Senior Product Marketing Manager, SAS Studio, SAS

Mark Hiew is a product marketer at SAS focused on data management products. He previously worked as a global marketing campaign manager at SAS, Amazon and John Deere.


Mickey Schauf

Senior Product Manager, Data Quality, InsightOps

Mickey Schauf has a strong background in product management and sales engineering. He specializes in bridging the gap between technical solutions and customer needs and currently oversees multiple data management products that help organizations optimize operations and accelerate decision making.


Pradeep Karpur

EY Partner and Competency Leader, AI & Data

Pradeep Karpur is a Partner in EY’s Technology Consulting practice, based in Calgary. As Canada’s national competency leader for AI & Data, Pradeep has spent over 25 years in data management and analytics, helping organizations across countries harness Data and AI to deliver measurable business transformation—leveraging modern cloud platforms, robust data governance, and scalable engineering practices.

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