AI Explained: Why Do Smarter AI Agents Still Break? | Fiddler AI Webinars

AI Explained: Why Do Smarter AI Agents Still Break?

July 23, 2026
10:00AM PT / 1:00PM ET
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This webinar has been cancelled at this time due to unforeseen circumstances.

Training a capable AI model is one problem. Getting an agent built on top of it to work is a different one. The two are more connected than they seem: the failures an agent runs into once it's deployed reveal exactly what to train into the next version of the model, delivering a better agent.

Juhi Parekh is GM of Key Frontier AGI Accounts at Turing, with firsthand experience working with frontier AI labs on post-training pipelines, benchmarks, and RL environments, and seeing how the agents built on those models hold up once enterprises deploy them. Join her for a conversation about what it takes to build an AI agent that works, and why even a capable one can still fail once it's live.

What you'll learn:

AI Explained is our AMA series featuring experts on the most pressing issues facing Agentic and AI teams.

Featured Speakers

Juhi Parekh

GM of Key Frontier AGI Accounts
at
Turing

Juhi Parekh is GM of Key Frontier AGI Accounts at Turing, where she helps frontier AI labs test and train their models, and sees firsthand how they perform once companies put them to work. She previously held product roles at Apple, Amazon, Niantic Spatial, and Samsung Research US.
https://www.linkedin.com/in/juhiparekh/

Buddy Brewer

VP of Product Management
at
Fiddler AI

Buddy Brewer is VP of Product at Fiddler AI, where he leads product and design. He brings more than 20 years of experience building monitoring and observability products, including serving as Chief Product Officer at Mezmo, GVP and GM at New Relic, product executive roles at Akamai, and co-founding front-end monitoring startup Log-Normal, which was acquired in 2012.