Expert Panel: Operational AI: Monitoring, Governing, and Scaling Production AI Systems
Webinar Speaker: Bill Franks, Research Fellow
Date: Friday, October 30, 2026
Time: 9:00 a.m. PT / 12:00 p.m. ET
Moving an AI initiative from proof of concept to enterprise production requires more than building successful models, managing technology, and performing oversight—it demands operational excellence.
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. Discover practical approaches that improve visibility, strengthen governance, optimize performance, and deliver trusted AI deployments that will continue to create business value long after deployment.
Topics include:
- Tracking model and agent behavior at scale, identifying drift or degradation
- Establishing oversight, accountability, and policy alignment across AI initiatives
- Approaches for validating AI outputs, detecting any issues early, and ensuring that deployed systems perform as intended
- Methods for improving efficiency, accuracy, and cost-effectiveness across AI systems
Guest Speaker
Rashel Hoover
Product Manager
Datadog
Rashel Hoover is a product manager at Datadog working on AI Observability. She helps teams building with large language models understand what their AI applications do in production — how they perform, where they break, and what they cost. Her work centers on giving engineers the visibility to ship AI systems they can trust and afford.