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Upcoming Webinars

TDWI On-Demand Webinars on Data Management, Analytics, & AI


On Demand

Governing Emerging and Diverse Data in the Age of AI – Insights from TDWI's Q4 Blueprint Report

In this webinar, Fern Halper, Ph.D., VP of Research at TDWI, will present key findings from TDWI's Q4 Blueprint Report: Governing Emerging and Diverse Data in the Age of AI. Drawing on survey research and qualitative insights from data and AI leaders.

Fern Halper, Ph.D.


Operational AI Governance: Control What AI Does, Not Just What It Should Do

Join TDWI research fellow Lawana Jones and experts from Collibra and Cognizant to explore practical approaches to putting AI governance into action, managing risk, and scaling AI with confidence.

Lawana Jones


AI-Ready Data: Giving Enterprise Agents Context They Can Trust

In this webinar, TDWI's Donald Farmer joins experts from Informatica and Microsoft to show how one data foundation can serve both analytics and agents.

Donald Farmer


Expert Panel: Preparing for AI: Governance, Risk, and Compliance

In this TDWI Expert Panel, industry leaders will examine how organizations can build the trusted data, governance frameworks, and controls needed to scale AI responsibly without slowing innovation.

Fern Halper, Ph.D.


Solution Lab: Building AI-Ready Semantic Foundations for Enterprise Analytics

In this TDWI Solution Lab, research fellow Donald Farmer gives an independent view of semantic layers for AI and the relevant TDWI research.

Donald Farmer


Data Modernization in the Agentic World

Drawing on real-world supply chain scenarios, from anticipating OEM orders to pricing thousands of product variants to servicing connected products, the panel explores what separates initiatives that reach production from those that remain pilots.

Donald Farmer


Expert Panel: Operational AI: Monitoring, Governing, and Scaling Production AI Systems

In this TDWI Expert Panel, industry experts examine how today’s leading organizations monitor AI performance, governing models, and agents to ensure reliability, manage operational risk, and scale AI systems across the enterprise.


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