Unlocking Document Automation with Vertex AI Platform
summary
Demonstrates Gemini on Google Cloud with Document AI and Vertex AI Search to ingest and embed 8,500 prospectuses and user profiles, populate databases, and power a search-and-chat app that returns better answers when semantic search is enabled and when prompts are tuned to a user’s history. Shows faceted filters, generates investment recommendations personalized by stored preferences, and extracts invoice fields using the new document modality with no model training, delivering working end-to-end automation.
AI-written summary · about
chapters (8)
- 0:00Meet Rand
- 0:28Why automate document processing with AI?
- 0:51Document AI portfolio
- 2:19Document AI architecture
- 3:09Demo: Vertex AI Search
- 4:14Demo: Prompting Document AI
- 6:22Document processing and analytics
- 7:11Wrap up
related talks
45mFrom Buzz to Benefits: Google AI in Action
31mBringing AI to Your Data
47mRevamping the Document Automation Workflow with Generative AI
01h 45mAI Engineering with the Google Gemini 2.5 Model Family
45mCreate and deploy your first agent with Google Cloud Gemini Enterprise
30mAI in the Cloud
40mInsights and Key Learnings on Our AI Journey
33mAI in action: Boost productivity and deliver business value with practical tools