No Observability, No Agents: The Key to Delivering Data to AI
Webinar Speaker: Evan Levy, TDWI Research Fellow
Date: Wednesday, April 15, 2026
Time: 9:00 a.m. PT / 12:00 p.m. ET
As organizations race to deliver AI, one critical factor separates reliable outcomes from costly failures: AI is only as reliable as the data it consumes. Data observability has emerged as an essential discipline for ensuring AI systems perform as intended, While data observability is essential for preventing "silent failures"—like schema drift and pipeline anomalies—observability alone is insufficient for the era of agentic AI. To move from reactive firefighting to proactive AI reliability, data must not only be clean but be contextually understood.
This webinar brings together TDWI research and the expertise of Actian and Databricks to address the critical challenges of delivering trustworthy, reliable data to operationalize AI at enterprise scale. Success requires the connection of data observability, business context, and data accessibility in a manner that supports users, development, and AI/agentic processing.
Attendees will gain a practical understanding of how observability shifts data teams from reactive firefighting to proactive data health management. Some of the key points will include:
- Data observability isn’t enough; including business semantics and contextual usability is crucial
- AI/agentic processing is only as powerful as the data that’s available, understandable, and usable
- The critical positioning of data governance; it must support users, developers, and AI/agentic processing
- The critical risk factors and deployment recommendations to strengthen an AI/agentic initiative
Why Attend?
You will hear AI experts discuss their experiences in building and deploying real-world AI and agentic AI solutions, and learn how they’ve worked through enterprise data obstacles to deliver reliable solutions that their business partners rely upon.
Date: April 15, 2026
Time: 9:00 am PT
Evan Levy, CBIP