Everyone is building AI. Almost no one is shipping it reliably. After 11+ years deploying AI systems across Fortune 50 enterprises in healthcare, finance, telecom, and retail, Vyoma Gajjar has seen the same patterns kill promising AI initiatives: no evaluation infrastructure, no drift detection, no governance, and no clear ownership between data science and engineering. This talk breaks down the operational gap between AI capability and production reliability. Vyoma walks through real examples of scaling agentic pipelines and RAG systems to millions of traces per day with defined SLOs, and share the evaluation frameworks, observability patterns, and deployment governance that separate proof-of-concepts from production systems. Whether you're a technical leader, CTO, or AI team lead, you'll leave with a concrete blueprint for getting AI out of the sandbox and into the hands of your customers safely, reliably, and at scale.
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