Keep pulling the thread on Brad Calder.
Google Cloud introduced the Gemini Enterprise Agent Platform, which allows developers to build autonomous agents that can proactively help users and complete tasks independently.
Every Google Cloud service is now enabled with the Model Context Protocol (MCP) by default.
Cloud Physician, a member of the Google Startup Accelerator in India, built a multimodal video AI platform on Google Cloud that has resulted in a 47% reduction in ICU mortality.
Gemini Cloud Assist is an agentic cloud operator from Google that assists with designing, running, fixing, and optimizing agents.
Gemini Cloud Assist can translate a user's intent, expressed in natural language, into infrastructure-as-code changes.
The Gemini Enterprise Agent Platform is powered by Google's Gemini Pro and Gemini Flash models.
The Gemini Enterprise Agent Platform allows developers to use third-party models, such as Claude, from Google's model garden.
The Gemini Enterprise Agent Platform includes a scalable, serverless agent runtime for running and scaling agents.
The Gemini Enterprise Agent Platform features an agent registry and an A2A (agent-to-agent) protocol to enable agent discovery and collaboration.
Richard Seroter predicts that by 2026, developers will build applications in days that previously took weeks or months.
Waymo uses Google's Genie 3 world model to recreate edge case traffic situations for training its foundation models.
Google Cloud provides a managed Model Context Protocol (MCP) server for Google Maps, giving agents access to mapping tools.