Introducing Google Distributed Cloud for retail and manufacturing
Customers in retail and manufacturing are looking for ways to improve legacy on-premises development for applications such as point-of-sale systems and factory operations, while also building rich new experiences like automated order taking, AI-based visual inspection, and cashierless checkout. However, they struggle to build, deploy, and manage modern workloads…
Supporting power grids with demand response at Google data centers
Every time you search on Google, watch a YouTube video, or send an email on Gmail, a Google data center uses a small amount of electricity to complete these tasks. To enable these services, Google also runs a number of non-urgent tasks in the background,…
Accelerating a carbon-free future with hourly energy tracking
In 2020, Google announced its most ambitious clean energy goal yet: to operate on 24/7 carbon-free energy (CFE) globally by 2030. This means matching the electricity demand from our global operations, including our data centers and offices, with carbon-free energy supply – every hour of every…
Firestore Multiple Databases is now generally available
Today, Google are announcing the general availability of Firestore Multiple Databases, which lets you manage multiple Firestore databases within a single Google Cloud project, enhancing data separation, security, resource management, and cost tracking. With this milestone, multiple databases are now fully supported in the Google…
Scaling Character.AI: How AlloyDB for PostgreSQL and Spanner met their growing needs
Do you ever wish you could sit down and talk physics with Albert Einstein or playwriting with William Shakespeare? With Character.AI, the possibilities are as infinite as the imagination. At Character.AI, Google are on a mission to deliver lifelike interactions using artificial intelligence (AI). Our service…
Code samples to get started building generative AI apps on Google Cloud
Last year, Google surveyed over 100 senior executives from leading companies on the top generative AI use cases for 2024. They told us their top use cases delivered near-term benefits for their business and had a lower time to and risk to implement. Specifically, they…
Google Cloud databases stand ready to power your gen AI apps with new capabilities
Google Cloud help our customers unify their data and connect it with groundbreaking AI to build transformative experiences. Data, whether it’s structured data in an operational database or unstructured data in a data lake, helps make AI more effective. For businesses to truly take advantage…
Introducing Security Command Center protection for Vertex AI
As developers use Vertex AI, Google Cloud’s end-to-end AI platform that includes intuitive tooling to build the next generation of AI applications, IT teams are called on to bolster cloud infrastructure security. Aligned with the Secure AI Framework (SAIF) we introduced last year, Google want to share approaches…
Unleash your Google Cloud data with ThoughtSpot, Looker, and BigQuery
Today’s businesses have to deliver innovation and operational improvements at high velocity — finding new ways to delight customers while paying close attention to efficient revenue growth. This goal translates to leveraging data and analytics in every part of their value chain, be it within…
Connected Sheets for Looker is now generally available
Modern organizations make decisions and act based on trusted data. But to fully empower their users, it isn’t enough to simply make trusted data available. Organizations need to enable users to access that data through tools they use every day, like the ubiquitous spreadsheet. Today,…
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Recent Posts
- Dataproc Serverless: Now faster, easier and smarter
- Tips and tricks for project management with Google Workspace
- Doubling calculation speed and other new innovations in Google Sheets
- Continued growth and success in the competitive logistics market
- How to get started with new Gemini model capabilities for Places API
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