Cloud Computing

As part of the Agentic Data Cloud launch at Google Cloud Next ‘26, we announced two AI-powered database agents to simplify database management. These include the Database Onboarding Agent for Day 0 operations — setup, configuration, and initial deployment — as well as the Database Observability Agent for Day 1 and 2 operations, including monitoring, […]

When people think about digital transformation in banking, they often focus on the visible results: mobile apps and new digital services. But there’s an invisible infrastructure making all these services possible: APIs. At Deutsche Bank, we recognized that APIs aren’t just technical plumbing; they’re the nervous system of modern banking.  A few years ago, our

In the Medium blog post, “From MARS to SETOF REFCURSOR: Migrating Multi-Result Stored Procedures to PostgreSQL,” we explored the fundamental architectural differences between SQL Server and PostgreSQL regarding multiple result sets. We looked at how SQL Server natively streams multiple tabular streams from a single execution, whereas PostgreSQL requires a more deliberate strategy using explicit

Editor’s Note: Our Future Mode series will give businesses insight into how Chrome Enterprise is approaching AI in the browser. Stay tuned for more blogs in this series. Future Mode Part 2: The foundation for securing agentic browsing Today, autonomous AI agents aren’t just drafting emails. They’re navigating SaaS applications, synthesizing data across multiple tabs,

For too long, enterprises with legacy mainframe estates have been faced with a high-stakes dilemma: continue maintaining their mainframes, essentially kicking the modernization can down the road (they know they will need to deal with it eventually), or perform a dangerous “big bang” migration with many unknowns and risks.  At Google Cloud, we propose an

To make informed decisions, businesses often need to connect their internal data with public reference data, to create a knowledge graph that connects real-world things and their relationships. However, bridging data from public and private worlds has traditionally been complex. Today, we are streamlining these connections with the general availability of Data Commons on Spanner

Businesses want to quickly and safely deploy AI agents to drive revenue, mitigate risk, and optimize capital, all without disrupting mission-critical ERP systems. And to power AI agents, you need more than raw data: You need interoperable data products that act as a single, reusable source of truth, turning cryptic source system records into clear