What have attendees learned?
summary
Attendees report concrete takeaways: Cloud now has built-in support for managing a fleet of OpenTelemetry collectors so observability scales, and teams are piloting embedded search that turns text, images, and video into vectors for fast multimodal lookup. Several groups test Earth Engine + gen AI to automate mapping workflows, while others prototype document ingestion pipelines to surface document insights that improve field rep workflows. Practical tips on prompting and navigating Google Cloud services help turn experiments into deployable features.
AI-written summary · about
related talks
01h 44mDay 1 Keynote: Building a Cloud for Everyone
11mUsing AI to extend the range of data scientist
57mBuilding smarter solutions with Machine Learning, from magic to reality
01mWhat Our Visitors Say!
40mInsights and Key Learnings on Our AI Journey
44mHands-on-lab: It's all about going hands-on with Generative AI!
40mRolling out Enterprise AI: Tools, Insights, & Team Empowerment
51mCloud AI: How to Get Started Injecting AI Into Your Applications
