Cloud Computing

In today’s complex and ever-evolving threat landscape, federal agencies require secure, reliable, and innovative solutions to fulfill their critical missions. Google Pixel phones have been added to the Department of Defense Information Network (DoDIN) Approved Products List (APL) – a significant milestone that underscores our commitment to providing federal agencies with secure, cutting-edge technology. Combined […]

It’s been exciting to see the capabilities of Nano Banana, our latest image editing model available in Gemini 2.5 Flash Image, go viral. And with transformative workflows like these, it is easy to see why: genmedia bundle carousel 1 Iterative refinement with Gemini 2.5 Flash Image genmedia bundle carousel 2 Context aware conversational editing with

The future of technology is unfolding across EMEA, and Google Cloud is at the forefront of this transformation. We’re organizing a series of exciting events across the region, offering a unique opportunity for developers and tech enthusiasts to dive deep into the world of artificial intelligence, agents, and cloud computing. Whether you’re looking to use

Distributed ledger technology (DLT) emerged with Bitcoin as a censorship-resistant way to conduct payments between distrusting peers. After a period, traditional financial institutions began to explore the technology, recognizing the potential of its immutability, decentralization, and programmability to redesign financial instruments and workflows. However, a foundational issue has stalled many enterprise blockchain projects at the

The global real-time payments market is experiencing significant growth. According to Fortune Business Insights, the market was valued at USD 24.91 billion in 2024 and is projected to grow to USD 284.49 billion by 2032, with a CAGR of 35.4%. Similarly, Grand View Research reports that the global mobile payment market, valued at USD 88.50

Adding features to an app can be hard. One minute you’re writing code, the next you’re switching to the PostgreSQL database client to run a query, and then it’s over to the console to check on your instances. For example, let’s say you wanted to add search capabilities. This can mean adding the right extensions

For AI agents to be really useful, they need to be able to securely interact with enterprise data. In July, we introduced a toolset to help AI agents interact with and analyze business data in BigQuery through natural language, and with just a few lines of code. Today, we’re taking the next step, with “Ask

Generative AI agents in production environments demand resilience strategies that go beyond traditional software patterns. AI agents make autonomous decisions, consume substantial computational resources, and interact with external systems in unpredictable ways. These characteristics create failure modes that conventional resilience approaches might not address. This post presents a framework for AI agent resilience risk analysis