Mike's Notes
I'm attending this to learn. Pipi 9 is made of a multitude of agents and can always be improved. Maybe I should join them.
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Last Updated
14/11/2025
Agents in Production - MLOps x Prosus
By: MLOps Community
MLOps Community: 14/11/2025
Free Virtual Conference – November 18 2025
After a year of hype, we’re hearing from the people deploying agents at scale.
Join practitioners from Meta, OpenAI, and Google as they share how agentic AI is being deployed in real systems. What’s working, what’s breaking, and what’s next. We have over 25 speakers sharing their hard-earned lessons on deploying agents at scale.
Free Registration
Some talk highlights:
- Aditya Gautam (Meta): Building multi-agent systems to detect, correct, and contain misinformation.
- Teodora Musatoiu (OpenAI): Lessons from shipping enterprise-scale AI and the new patterns emerging from real deployments.
- Jasleen Singh (Google): Bringing AI agents together through a common communication framework.
- Plus, a panel featuring Arushi Jain (Microsoft), Swati Bhatia (Google), and Julia Rose (Inworld AI) discussing how to harden agents for e-commerce scale – from RL alignment to system reliability in production.
Expect technical depth, real implementation stories, and a format that keeps your attention between sessions.
The MLOps Community is where machine learning practitioners come together to define and implement MLOps. Our global community is the default hub for MLOps practitioners to meet other MLOps industry professionals, share their real-world experience and challenges, learn skills and best practices, and collaborate on projects and employment opportunities. We are the world's largest community dedicated to addressing the unique technical and operational challenges of production machine learning systems.
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