Expert Panel: How to Make Enterprise Data Fit for Autonomous Decision-Making
Webinar Speaker: Fern Halper, TDWI VP Research, Senior Research Director for Advanced Analytics
Date: Monday, June 8, 2026
Time: 9:00 a.m. PT / 12:00 p.m. ET
As organizations move beyond generative AI toward agentic systems capable of autonomous decision-making, the demands on enterprise data are increasing significantly. Agentic AI requires data that is not only accessible, but trusted, connected, and rich in context. Yet TDWI research shows that most organizations are not fully prepared: while many are exploring agentic AI, fewer than 10% report having multi-agent systems in production.
The gap is not just about technology; it reflects challenges in data quality, fragmented data sources, inconsistent definitions, and limited governance. Without a unified and trusted data foundation, autonomous systems risk producing unreliable or untraceable outcomes, limiting their ability to scale.
Join Fern Halper, Ph.D., VP of research at TDWI, along with experts from Precisely and Reltio, as they examine what it takes to make enterprise data fit for autonomous and agentic AI systems. This webinar will explore how organizations can move from fragmented data environments to unified, trusted, and context-aware data foundations that support intelligent, automated decision-making. Topics include:
- The current state of data readiness for autonomous and agentic AI
- How to improve data quality, unify data, and build trusted data foundations
- The role of context, semantics, and connected data in enabling agentic systems
- Governance strategies to support safe, scalable autonomous decision-making
Date: June 8, 2026
Time: 9:00 am PT
Fern Halper, Ph.D.