GenAI + Google Maps
summary
Shows how Google Maps Platform and Gemini combine: use generative summaries (place, area, contextual search) returned via the new Places API field mask and place IDs, and use maps grounding where Gemini verifies suggested POIs via Maps (Nearby Search, Routes API / routes matrix, elevation API) before returning results as prebuilt place cards/widgets. Demonstrates function calling and Control G generation for schemaed responses, experimental features, and a 3D polygon demo that works but yields poor neighborhood polygons; notes a terms restriction on sending Maps data to Gemini.
AI-written summary · about
chapters (9)
- 0:00Introduction to talk
- 1:18What is Google Maps Platform
- 4:48Generative AI in Google Maps
- 8:40New Places API features
- 11:51Grounding GenAI with real data
- 15:44Using Gemini with Maps APIs
- 21:00Architecture and function calling
- 22:45Live demo with real estate example
- 28:19Q&A and closing
related talks
28mDinner for two with Gemini: takeaway or restaurant?
01h 45mAI Engineering with the Google Gemini 2.5 Model Family
51mGemini, Google's Large Language Model
49mAbracadabra! Bring Your Ideas to Life with Google AI Studio
44mHands-on-lab: It's all about going hands-on with Generative AI!
01h 01mBuilding Multimodal Apps with Gemini 2.0 and Gemini SDK
08mAI-Powered transformation: Driving innovation and reshaping organizations
18mIntroduction to Gemini APIs and AI Studio