Gen AI for regulated industries
summary
Demonstrates a working on‑prem GenAI pipeline using Google Distributed Cloud for air‑gapped environments that extracts text from images, translates French to English, embeds content with Vertex AI, and uses AlloyDB Omni Vector Search to match queries. Deployment options include a four‑rack minimum and a portable appliance form factor for disaster recovery. The demo ingests 12 new regulatory requirements, finds three gaps, supplies source links to verify answers, and returns grounded generative responses in plain English.
AI-written summary · about
chapters (8)
- 0:00Meet Antoine
- 1:15Announcements for Google Distributed Cloud
- 2:48Demo introduction
- 3:03Ingesting regulatory requirements to gen AI search
- 3:38Asking the AI questions in plain English
- 5:26Verifying AI responses
- 6:11How does Google Distributed Cloud gen AI search work?
- 7:56Wrap up
related talks
38mBuild Gen AI applications with Google Databases and Cloud Runtimes
30mSecureAI: A Scalable, Secure, and Compliant AI Solution
02h 35mBringing GenAI to the Modern Enterprise. A production use-case. In Serverless Java!
51mTransforming Banking with Advanced AI: GenAI, RAG, and Multi-Agent Systems
22mGenerative AI: Opportunities for the New Age of AI
33mSimplifying Generative AI App Development Why Standards Matter
13mDeploying Enterprise-Grade Compliant Generative AI
29mCustomizing genAI applications for your business