Episode
Operationalizing AI Agents: From Experimentation to Production // Databricks Roundtable
- Podcast
- MLOps.community
- Published
- Mar 30, 2026
- Duration seconds
- 3673
- Processing state
processed
Actions
POST https://stenobird.com/v1/public/podcasts/mlops-community/episodes/operationalizing-ai-agents-from-experimentation-to-production-databricks-roundtable/transcription-requests
Idempotently request low-priority transcript generation for this episode.GET https://stenobird.com/podcast/mlops-community/operationalizing-ai-agents-from-experimentation-to-production-databricks-roundtable.md
Read the agent-friendly Markdown representation of this episode resource.
Summary
Databricks Roundtable episode: Operationalizing AI Agents: From Experimentation to Production. Join the Community: https://go.mlops.community/YTJoinIn Get the newsletter: https://go.mlops.community/YTNewsletter MLOps GPU Guide: https://go.mlops.community/gpuguide Big shout-out to Databricks for the collaboration! // Abstract This panel discusses the real-world challenges of deploying AI agents at scale. The conversation explores technical and operational barriers that slow production adoption, including reliability, cost, governance, and security. The panelists also examine how LLMOps, AIOps, and AgentOps differ from traditional MLOps, and why new approaches are required for generative and agent-based systems. Finally, experts define success criteria for GenAI frameworks, with a focus on robust evaluation, observability, and continuous monitoring across development and staging environments. // Bio Samraj Moorjani Samraj is a software engineer working on the Agent Quality team. Previously, Samraj worked at Meta on ads/product classification research and AppLovin on MLOps. Samraj graduated with a BS+MS in Computer Science from UIUC, advised by Professor Hari Sundaram, where he worked on controllable natural language generation to produce appealing, interpretable science to combat the spread of misinformation. He also worked with Professor Wen-mei Hwu on accelerating LLM inference through extreme sparsification. Apurva Misra Apurva is an AI Consultant at Sentick, focusing on assisting startups with their AI strategy and building solutions. She leverages her extensive experience in machine learning and a Master's degree from the University of Waterloo, where her research bridged driving and machine learning, to offer valuable insights. Apurva's keen interest in the startup…