Seeing Is Believing: Observability as the Backbone of Trustworthy AI (Sept. 16th)
Wednesday, September 16th, 2026: 2:00 PM to 3L00 PM
This webinar explores the principles and practices of AI observability: what to monitor, how to measure it, and how to respond. We'll break down what meaningful observability looks like across the AI lifecycle - and why it's foundational for governance, risk mitigation, and long-term success.
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Wednesday, September 16th, 2026 at 2:00 PM
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Virtual
It’s one thing for AI to work—it’s another to understand how and why it’s working. As AI systems move into production and touch more critical workflows, observability becomes non-negotiable. Performance metrics alone aren’t enough; leaders need insight into model behavior, input drift, and downstream impacts to maintain trust and control.
What You'll Learn:
- Beyond Accuracy: What to track when accuracy isn’t the only—or best—indicator of AI health.
- Behavioral Monitoring: Techniques to detect drift, distributional shift, and changes in model reasoning over time.
- Downstream Risk Visibility: How to trace model outputs through business processes to assess and manage their real-world impact.
- Enabling Governance: How observability supports audits, incident response, and cross-functional accountability.
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