The example of a growing restaurant Imagine you are running a restaurant chain. You just can’t physically feel and touch things to know how your business operates. You need tools and a digital replica of your business to sense the health of the business for you. The friction of growth Growth creates a unique kind […]
Modeling a digital twin of a food supply chain using BigQuery Graph Read More »
Processing millions of user reviews in real-time, under strict latency and cost constraints, is no easy task. Trustpilot has been doing exactly that with custom machine learning since long before large language models (LLMs) were cool. Now, as the company transitions its core stack to generative AI, here is a look at how we teamed
How Trustpilot built a real-time architecture for data enrichment using Gemma Read More »
AI agents possess incredible reasoning capabilities and can perform increasingly complex actions. But the reliability of agentic outcomes depends entirely on the quality of the context they can access — context that is frequently locked away in operational databases. To bridge this gap, we are excited to announce the Remote Model Context Protocol (MCP) Server
The fully-managed Remote MCP Server for AlloyDB is now Generally Available Read More »
Application owners and platform engineers have long faced a difficult choice: spend excessively by over-provisioning to guarantee quick startups, or minimize costs but endure slow cold starts. We are excited to announce a solution to this compromise: Google Kubernetes Engine standby buffers. This builds on the launch of GKE active buffers earlier this year, a
Many organizations’ single source of truth is data that resides in BigQuery, Google’s governed, secure and petabyte-scale data platform. However, the “last mile” of ad-hoc analysis, modeling, and reporting often happens where business users are most comfortable: Google Sheets. Bridging this gap usually involves exporting data as CSVs. But this is inefficient, creating data silos,
From petabytes to predictions: Easy BigQuery insights in Google Sheets Read More »
If you’ve built a chatbot, you know this conversation: User: “Book a table for two tomorrow at 7pm.” Agent: “Okay, for what day?” User: “Tomorrow.” Agent: “What time?” A date picker would have ended this in one tap. But until recently, agents had no standard way to render a date picker — or a map,
Developer’s guide to Gemini Enterprise and A2UI integration Read More »
Many organizations’ single source of truth is data that resides in BigQuery, Google’s governed, secure and petabyte-scale data platform. However, the “last mile” of ad-hoc analysis, modeling, and reporting often happens where business users are most comfortable: Google Sheets. Bridging this gap usually involves exporting data as CSVs. But this is inefficient, creating data silos,
From petabytes to predictions: Easy BigQuery insights in Google Sheets Read More »
Welcome to the second Cloud CISO Perspectives for May 2026. Today, Usman Chaudhary, Field CISO, Google Public Sector, offers a guide for CISOs protecting government agencies and critical infrastructure on how to get started — and get the most out of — defending with AI. As with all Cloud CISO Perspectives, the contents of this
Cloud CISO Perspectives: How to build an AI-ready security program for the public sector Read More »
AlloyDB for PostgreSQL is a fully managed, PostgreSQL-compatible database service designed for the most demanding enterprise workloads. It combines the best of PostgreSQL with the power of Google, delivering exceptional performance, scalability, and availability. We are continuously innovating to make AlloyDB even more resilient, and today, we’re excited to announce a significant upgrade to our
AlloyDB Hot Standby: Faster failovers, consistent performance Read More »
Let’s take a moment to shout out all the articles we’re seen posted so far and encourage folks reading to reach out about your own.
