App life cycles with Google Cloud databases and runtimes have gotten smarter. This session takes you through the life cycle of building and optimizing scalable, high-performance generative AI apps. We’ll use Google’s latest natural language and vector search technologies to build the “art of the possible” for AI-powered software. We’ll also cover various app design patterns using Gemini Code Assist, foundation models, agentic retrieval-augmented generation (RAG), and orchestration frameworks, and show you how it all comes together in a live demo.
talk-data.com
H
Speaker
Harish Jayakumar
2
talks
Global Director, Cloud Solutions Engineering
Google Cloud
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Leverage Google Cloud's robust infrastructure to seamlessly develop and deploy enterprise-ready generative AI applications. This session delves into the intricacies of building scalable, high-performance gen AI applications utilizing Google Databases and Cloud Runtimes. Discover how to establish end-to-end governance frameworks to ensure the security and integrity of your AI-powered solutions.
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