Cloud Computing

New DNS Armor can help detect, mitigate domain name system risks

The Domain Name System (DNS) is like the internet’s phone book, automatically and near-instantly translating requests for websites and mobile apps from their domain names to the Internet Protocol addresses of the actual computers hosting them. As part of the bedrock of the internet, DNS and domain name lookup are also prime vehicles for threat […]

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Power up your data analysis: The Data Science Agent now supports BigQuery ML, DataFrames, and Spark

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

Power up your data analysis: The Data Science Agent now supports BigQuery ML, DataFrames, and Spark Read More »

Power up your data analysis: The Data Science Agent now supports BigQuery ML, DataFrames, and Spark

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

Power up your data analysis: The Data Science Agent now supports BigQuery ML, DataFrames, and Spark Read More »

Oklahoma DOT gains valuable information on the health of bridge inventory with data-driven insights on Google Cloud

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

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Powering AI commerce with the new Agent Payments Protocol (AP2)

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

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Announcing the new Practical Guide to Data Science on Google Cloud

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

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Introducing the Class of 2025 Google for Startups Accelerator: AI First MENA and Turkey

Today, we are thrilled to announce the 14 innovative startups selected to join the Google for Startups Accelerator: AI First in the Middle East, North Africa and Turkey. These companies are leveraging AI to tackle significant challenges and create new opportunities across various industries. From real estate and finance to enhancing healthcare and industrial safety,

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Cloud CISO Perspectives: APAC security leaders speak out on AI and key topics

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

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Supercharge ML performance on xPUs with the new XProf profiler and Cloud Diagnostics XProf library

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,

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