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From broken pipelines to hallucinating agents, reliability challenges are the hidden hurdles blocking AI success. Learn how leading enterprises are using observability to detect anomalies, triage incidents, and operationalize trust across their entire data + AI stack. Omer Spillinger AI Product Manager, Monte Carlo Omer is on the product team at Monte Carlo, where he focuses on bringing observability to AI agents. With a background in data reliability and a passion for building trustworthy AI systems, he has worked closely with data and AI teams deploying LLM-powered agents in production. His recent work explores how lessons from software and data observability can be applied to make AI systems more reliable, scalable, and cost-effective.