As enterprises accelerate AI adoption, the journey from experimentation to scalable production remains complex. Traditional MLOps stacks, originally built for model-centric workflows, are now being pushed to their limits by innovations such as LLMs, RAG, and autonomous AI agents—prompting a necessary shift in how we operationalize AI.
This session explores how sustainable business value can be unlocked by orchestrating five interconnected dimensions: Infrastructure, Data, Code, Models, and—with the rise of Agentic AI—the Human/AI experience. These domains often fall under siloed ownership, leading to friction and delays in deploying robust AI systems at scale.
We’ll discuss the evolution from MLOps to LLMOps—and AgentOps—and present strategies for aligning technical execution with business goals. Topics will include:
Check out the incredible speaker line-up to see who will be joining Amit.
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