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ORGANIZER:MAILTO:nur@eventhandler.co.il
TITLE:How to Build Quality-Driven Agentic AI in Noisy Big Data Environments
DTSTART:20251211T120000Z
DTEND:20251211T122000Z
SUMMARY:How to Build Quality-Driven Agentic AI in Noisy Big Data Environments
DESCRIPTION:Building reliable agentic AI systems in prod environments presents unique challenges when dealing with massive, noisy datasets. This talk shares hard-won lessons from developing an AI agent that processes millions of K8s events daily to deliver autonomous troubleshooting that reached 95%+ accuracy in benchmarking.The fundamental challenge isn't LLM capability—it's building systems that maintain reliability when 90% of your data is noise. We'll explore why most agentic AI fails in production: hallucinations masquerading as insights, inability to validate reasoning chains, and the brittle nature of RAG systems when dealing with complex, interconnected failure modes.Gain practical tips learned through painful prod iterations: how to build validation frameworks that catch LLM errors before they reach users, architectural patterns for constraining problem spaces without losing effectiveness & methods for creating evidence-based reasoning that can be audited & improved systematically. 
LOCATION:Main Stage
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