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Why Traditional Observability Falls Short for AI Agents
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.
About This Episode
Why Traditional Observability Falls Short for AI Agents is an episode from The Data Exchange with Ben Lorica by Ben Lorica. Lior Gavish , CTO and co-founder of Monte Carlo Data , joins Ben Lorica to discuss the critical transition from data...
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This episode belongs to The Data Exchange with Ben Lorica.
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Episode Details
Published Jan 22, 2026, 42:53 long, audio available.
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Questions About This Episode
What is Why Traditional Observability Falls Short for AI Agents about?
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.
Where can I listen to Why Traditional Observability Falls Short for AI Agents?
You can listen to Why Traditional Observability Falls Short for AI Agents online on Radio and Podcast. Open the player on this page to stream the available audio.
Which podcast is Why Traditional Observability Falls Short for AI Agents from?
Why Traditional Observability Falls Short for AI Agents is an episode from The Data Exchange with Ben Lorica by Ben Lorica.
How long is this episode?
This episode is 42:53 long.
When was this episode published?
This episode was published on Jan 22, 2026.
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Are there related episodes from The Data Exchange with Ben Lorica?
Yes. This page shows related episodes from The Data Exchange with Ben Lorica when more episodes are available from the podcast feed.
Quick Answers About This Episode
Where can I listen to Why Traditional Observability Falls Short for AI Agents?
You can listen to Why Traditional Observability Falls Short for AI Agents on this page when the episode audio is available from the podcast feed.
Which podcast is this episode from?
Why Traditional Observability Falls Short for AI Agents is from The Data Exchange with Ben Lorica by Ben Lorica.
What are the episode details?
Published Jan 22, 2026 and 42:53 long