Cloud Computing

The AI-driven telecom: A new era of network transformation

The telecommunications industry is undergoing a profound transformation, with AI and generative AI emerging as key catalysts. Communication service providers (CSPs) are increasingly recognizing that these technologies are not merely incremental improvements but fundamental drivers for achieving strategic business and operational objectives. This includes enabling digital transformation, fostering service innovation, optimizing monetization strategies, and enhancing […]

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Introducing AI.GENERATE_TABLE: creating structured data from gen AI models in BigQuery

The explosion of digital content from social media, smartphones, and other sources has created a massive amount of unstructured data like images, videos, and documents. To help you analyze this data, BigQuery is connected with Vertex AI, Google Cloud’s powerful AI platform, so you can use advanced AI models, like Gemini 2.5 Pro/Flash, to understand

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Advancing sovereignty, choice, and security in the cloud for our customers

Like most organizations, Google Cloud is continually engaging with customers, partners, and policymakers to deliver technology capabilities that reflect their needs. When it comes to digital sovereignty solutions, Google Cloud has worked with customers for nearly a decade.  Today, we’re pleased to announce significant technical and commercial updates on our sovereign cloud solutions for customers,

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Google AI Edge Portal: On-device machine learning testing at scale

Today, we’re excited to announce Google AI Edge Portal in private preview, Google Cloud’s new solution for testing and benchmarking on-device machine learning (ML) at scale.  Machine learning on mobile devices enables amazing app experiences. But how will your model truly perform across the vast, diverse, and ever-changing landscape of mobile devices? Manually testing at

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AI deployment made easy: Deploy your app to Cloud Run from AI Studio or MCP-compatible AI agents

Cloud Run has become a go-to app hosting solution for its remarkable simplicity, flexibility, and scalability. But the age of AI-assisted development is here, and going from idea to application is faster and more streamlined than ever. Today, we’re excited to make AI deployments easier and more accessible by introducing new ways to deploy your

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Expanding Vertex AI with the next wave of generative AI media models

Today, we are introducing the next wave of generative AI media models on Vertex AI: Imagen 4, Veo 3, and Lyria 2.  We’ve already seen customers generate stunning, photorealistic images with Imagen 3, Google’s image generation model. Customers have taken these images and transformed them into high quality videos and assets with Veo 2. We’ve

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Gemini 2.5 Flash and Pro expand on Vertex AI to drive more sophisticated and secure AI innovation

Today at Google I/O, we’re expanding Gemini 2.5 Flash and Pro model capabilities that help enterprises build more sophisticated and secure AI-driven applications and agents: Thought summaries: For enterprise-grade AI, we’re bringing clarity and auditability with thought summaries. This feature organizes a model’s raw thoughts — including key details and tool usage — into a

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SAP & Google Cloud: Enabling faster value and smarter innovation for business excellence

SAP and Google Cloud are deepening their collaboration across data analytics, AI, security, and more to deliver what customers need most: faster paths to business value, lower risk on complex projects, and smart, enterprise-ready innovation that’s built to serve real workloads — not hypothetical use cases. At SAP Sapphire 2025, we are excited to highlight

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