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Get grounded in the data science fundamentals that make AI-powered knowledge work. We know how to coach our people, and what data to use to evaluate what they do – what signals are there about our AI agents and how do we interpret them?
- Learn how to baseline AI performance with real production data
- Understand key measures: BLEU scores, LLM as a Judge, and live quality testing
- Explore tuning vs. testing datasets (and why both matter)
- Use implicit feedback and prompt tuning to continuously improve outcomes
This event will be recorded and shared with Consortium Members.
This session is the second in a three-part series about the intersection of agentic AI and customer engagement. Consortium Members have access to recaps and recordings below (requires member login)
- November 13 replay: Agentic AI Meets Knowledge Management
- December 17, 2025: Data Science Essentials for AI-Driven Knowledge
- January 14, 2026 replay: Enabling AI Agents with KCS and Intelligent Swarming
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KCS and Intelligent Swarming are registered service marks of the Consortium for Service Innovation. By registering for this event, I am agreeing to abide by the Member Rules of Conduct and the Photo Policy.