Name: From Prototype to Prod: Operationalizing Multimodal Multi-Agent GenAI on GCP
Start: 2025-11-05T18:00:00Z
End: 2025-11-05T19:00:00Z

Generative AI prototypes are impressive — but turning them into reliable, scalable products is the real challenge. In this talk, I’ll break down how to productionize multimodal, multi-agent GenAI applications using Google Cloud’s end-to-end ML tooling.

In this session, I’ll cover system design, MLOps best practices, performance monitoring, and cost control.

Join us for some fun working with Multimodal Multi-Agent using GenAI.

Hugo Barona

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**Google, Software ML Lead**

Niyati P is an ML Software lead with 10+ years of corporate experience in AI/Gen AI, Computer Vision and Robotics To summarize it, she has led cross-functional AI teams and R&D projects developing AI-driven solutions, products and platforms using large language models, large multimodal and vision models in designing a software architecture for reinforcement and transfer learning to deliver state-of-the-art models for consumer robots.She received an MS in Electrical and Computer Engineering from the New York Institute of Technology.

Niyati P

From Prototype to Prod: Operationalizing Multimodal Multi-Agent GenAI on GCP

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Dotnet Titans, C# Champions and other Microsoft family

From Prototype to Prod: Operationalizing Multimodal Multi-Agent GenAI on GCP

Dotnet Titans, C# Champions and other Microsoft family

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