Cloud Computing – Page 58 – Experiential Design Group

Looker and Looker Conversational Analytics extensions available in the Gemini CLI

The ability to easily access and understand data is essential for modern businesses. The Gemini command line interface (CLI) is an open-source AI agent that provides access to Gemini directly in your terminal, enabling you to interact with Google’s latest AI models directly from the interface you know best. With the release of Looker and […]

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Four agentic workflows you can build for life sciences for R&D

Cloud Computing /

AI agents, powered by generative AI, are rapidly transforming industries by acting as intelligent, collaborative partners that can interpret goals, plan multi-step actions, and work independently across systems, marking a significant shift in how businesses can find, understand, and act on their data. Our recent blog outlines how AI agents are transforming several industries. Below

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How Google Does It: Building the largest known Kubernetes cluster, with 130,000 nodes

Cloud Computing /

At Google Cloud, we’re constantly pushing the scalability of Google Kubernetes Engine (GKE) so that it can keep up with increasingly demanding workloads — especially AI. GKE already supports massive 65,000-node clusters, and at KubeCon, we shared that we successfully ran a 130,000-node cluster in experimental mode — twice the number of nodes compared to

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Building with Gemini in the newest Vertex AI Studio

Cloud Computing /

Today, we’re sharing new ways Vertex AI Studio – Google’s developer console for production-ready AI – will help teams turn ideas into scalable, production gen AI apps. We’ve introduced powerful new tools that directly address developer needs for efficiency and team-based work. Now, you can: Use agents as tools to help you prompt and build

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BigQuery AI: The convergence of data and AI is here

Cloud Computing /

From uncovering new insights in multimodal data to personalizing customer experiences, AI is emerging as the engine of modern innovation. The explosion in AI adoption has created a need to bring data and AI closer — not only to streamline the AI lifecycle, but also to bring AI-driven insights and workflow automation to everyone in the

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Google is a Leader in the 2025 Gartner® Magic Quadrant for Cloud Database Management Systems

Cloud Computing /

Google is a Leader in the 2025 Gartner Magic Quadrant for Cloud Database Management Systems for the sixth year in a row, and for the third consecutive year is positioned furthest in vision. This comes as we cross into the era of agentic AI. Leading enterprises are in the early days of deploying agents to

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Only you can stop AI database drops

Cloud Computing /

Ryan is joined by David Hsu, CEO and founder of Retool, to explore how AI is transforming the role of a software developer into a software architect, the increasing accessibility of coding for non-engineers, and the importance of placing guardrails and higher-level programming primitives on AI coding assistants.

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Announcing Nano Banana Pro for every builder and business

Cloud Computing /

Earlier this year we launched Nano Banana (Gemini 2.5 Flash Image). It became the top rated image model in the world, and we were excited to see the overwhelming response from our customers. Nano Banana made it dramatically easier – and more fun – to edit images with natural language and make visuals with consistent

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Expanding BigQuery Data Transfer Service with new connectors, features, and more

Cloud Computing /

With BigQuery, our goal is to allow you to extract valuable insights from your data, regardless of how much there is, or where it’s from. A key part of how we do this is our BigQuery Data Transfer Service, which automates and streamlines data loading into BigQuery from a wide variety of sources. As a

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From interaction to insight: Announcing BigQuery Agent Analytics for the Google ADK

Cloud Computing /

In a world of agentic AI, building an agent is only half the battle. The other half is understanding how users are interacting with it. What are their most common requests? Where do they get stuck? What paths lead to successful outcomes? Answering these questions is the key to refining your agent and delivering a

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