Cloud Computing

When extreme weather or unexpected natural disaster strikes, time is the single most critical resource. For public sector agencies tasked with emergency management, the challenge isn’t just about crafting a swift response, it’s about communicating that response to citizens effectively. At our recent Google Public Sector Summit, we demonstrated how Google Workspace with Gemini is

The AI state of the art is shifting rapidly from simple chat interfaces to autonomous agents capable of planning, executing, and refining complex workflows. In this new landscape, the ability to ground these intelligent agents in your enterprise data is key to unlocking true business value. Google Cloud is at the forefront of this shift,

Building Generative AI applications has become accessible to everyone, but moving those applications from a prototype to a production-ready system requires one critical step: Evaluation. How do you know if your LLM is safe? How do you ensure your RAG system isn’t hallucinating? How do you test an agent that generates SQL queries on the

To build a production-ready agentic system, where intelligent agents can freely collaborate and act, we need standards and shared protocols for how agents talk to tools and how they talk to each other. In the Agent Production Patterns module in the Production-Ready AI with Google Cloud Learning Path, we focus on interoperability, exploring the standard

We can all agree that the quality of AI-driven answers relies on the consistency of the underlying data. But AI models, while powerful, lack business context out of the box. As more organizations ask questions of their data using natural language, it is increasingly important to unify business measures and dimensions, ensure consistency company-wide. If