Why Traditional Observability Falls Short for AI Agents - podcast episode cover

Why Traditional Observability Falls Short for AI Agents

Jan 22, 202643 min
--:--
--:--
Download Metacast podcast app
Listen to this episode in Metacast mobile app
Don't just listen to podcasts. Learn from them with transcripts, summaries, and chapters for every episode. Skim, search, and bookmark insights. Learn more

Episode description

Lior Gavish, CTO and co-founder of Monte Carlo Data, joins Ben Lorica to discuss the critical transition from data observability to agent observability in production environments. 

Subscribe to the Gradient Flow Newsletter 📩  https://gradientflow.substack.com/

Subscribe: Apple · Spotify · Overcast · Pocket Casts · AntennaPod · Podcast Addict · Amazon ·  RSS.

Detailed show notes - with links to many references - can be found on The Data Exchange web site.

For the best experience, listen in Metacast app for iOS or Android