Cloud Computing

We recently announced AI-first Colab Enterprise notebook experience in BigQuery and Vertex AI to help you simplify and transform your data science and analytics workflows. Colab Enterprise notebooks come with a built-in Data Science Agent to accelerate your data science development with agentic capabilities that facilitate data exploration, transformation, and machine learning modeling. With nothing

Managing Oklahoma’s extensive network of thousands of bridges is a critical responsibility for the Oklahoma Department of Transportation (ODOT). This immense undertaking demands not only diligent engineering and maintenance, but also the ability to effectively manage and analyze vast and complex data sets, including inspection reports, material histories and real-time environmental factors. ODOT recognized the

Today, Google announced the Agent Payments Protocol (AP2), an open protocol developed with leading payments and technology companies to securely initiate and transact agent-led payments across platforms. The protocol can be used as an extension of the Agent2Agent (A2A) protocol and Model Context Protocol (MCP). In concert with industry rules and standards, it establishes a

The world of enterprise technology is at an inflection point. Businesses are no longer just looking to modernize their infrastructure; they’re seeking to infuse intelligence and automation into every aspect of their operations. At Google Cloud, we believe the future lies in a unified, intelligent, and flexible enterprise landscape. That’s why we’re so excited about

Data science is undergoing a profound transformation with new tools and platforms empowering practitioners like never before. To help you navigate this evolving landscape, we’re excited to announce the release of our new ebook: A Practical Guide to Data Science with Google Cloud. Google Cloud provides extensive data science-related tooling, and this new practical guide

Welcome to the first Cloud CISO Perspectives for September 2025. Today, Daryl Pereira and Hui Meng Foo, from our Office of the CISO’s Asia-Pacific office, share insights on AI from security leaders who attended our recent Google Cloud CISO Community event in Singapore. As with all Cloud CISO Perspectives, the contents of this newsletter are

Are you spending more time debugging ML model performance than you are building? You’re not alone. In today’s fast-paced AI landscape, optimizing models is a complex challenge, from navigating new model architectures to dealing with the ever-changing hardware and software stacks. Even at Google, where we optimize models for products like Gemini, Search, and YouTube,

At Google Cloud Next ’25, we announced the preview of AlloyDB on C4A virtual machines, powered by Google Axion processors, our custom Arm-based CPUs. Today, we’re glad to announce that C4A virtual machines are generally available!  For transactional workloads, leveraging C4A, AlloyDB provides nearly 50% better price-performance compared to N series machines for transactional workloads,