Building Reliable Agents on the Data Lakehouse
Webinar Speaker: Fern Halper, TDWI VP Research, Senior Research Director for Advanced Analytics
Date: Friday, May 29, 2026
Time: 9:00 a.m. PT / 12:00 p.m. ET
Agentic AI is rapidly becoming a top priority for organizations. Yet progress remains uneven. Recent TDWI survey data indicates that more than half of organizations surveyed have not been able to move beyond experimentation to deployment, and the vast majority report that fewer than 50% of their pilots make it into production. Our research points to a consistent cause: the data foundation. Organizations need trusted, high-quality data to operationalize AI at scale. However, data quality continues to rank among the top data management challenges, creating a critical barrier to building reliable, production-ready AI agents.
Join TDWI’s VP of research, Fern Halper, along with experts from Monte Carlo and Databricks, for a discussion on what it takes to build reliable agents. This session will explore how organizations can strengthen their data foundations, improve observability, and accelerate the path from pilot to production.
Topics include:
- The current state of agentic AI: what is working and what is failing
- The importance of unified observability across the data stack and AI agents
- How leading organizations are detecting, triaging, and resolving data and AI issues more efficiently to support reliable, production-scale AI
- How organizations can ship AI agents on Databricks that they can actually trust with Monte Carlo, from data input to agent output
Guest Speaker
Ethan Post
Principal FDE, AI Observability
Monte Carlo
Date: May 29, 2026
Time: 9:00 am PT
Fern Halper, Ph.D.