Over just the past few years, Artificial Intelligence and Machine Learning (AI/ML) have remarkably transformed IT and data science at the enterprise level. Yet, the public sector is still working through some significant “growing pains” adapting Data & AI strategies and infrastructure to improve and accelerate public services. Google’s experiences across the Public Sector have […]
The three pillars of data-driven government Read More »
Stack Overflow CEO Prashanth Chandrasekar sat down with Ryan at HumanX 2025 to talk about how Stack is integrating AI into its public platform, the enormous importance of a high-quality knowledge base in your AI journey, how AI tools are empowering junior developers to build better software, and much more.
An AI future free of slop Read More »
Partner Summit at Google Cloud Next ’25 is your opportunity to hear from Google Cloud leaders on what’s to come in 2025 for our partners. Breakout Sessions and Lightning Talks are your ticket to unlocking growth, mastering AI, and conquering the cloud marketplace. Sign-up today to secure your seat in one of the 40+ exclusive
Google Cloud Next 25 Partner Summit: Session guide for partners Read More »
In the rapidly evolving AI landscape, security remains paramount. Today, we reinforce that commitment with another significant achievement: FedRAMP High authorization for Google Vertex AI Search and Generative AI on Vertex AI. This follows our announcement earlier this week where we shared that Gemini in Workspace apps and the Gemini app are the first generative
Vertex AI Search and Generative AI (with Gemini) achieve FedRAMP High Read More »
Model endpoint management is available on AlloyDB, AlloyDB Omni and Cloud SQL for PostgreSQL. Model endpoint management helps developers to build new experiences using SQL and provides a flexible interface to call gen AI models running anywhere — right from the database. You can generate embeddings inside the database, perform quality control on your vector
Build richer gen AI experiences using model endpoint management Read More »
If you used the internet today, you’ve probably already benefited from generative AI. Whether it helped you get your work done faster, research home repairs, or find the perfect gift, gen AI is transforming how we get things done. These generative AI experiences use searches against vector embeddings — multi-dimensional representations of data’s meaning —
Vector similarity search for Cloud SQL for MySQL is now GA Read More »
Modern data teams want to use Git to collaborate effectively and adopt software engineering best practices for managing their data pipelines and analytics code. But most tools used by data teams don’t offer integration with Git version control systems, making a Git workflow feel out of reach. This forces users to copy and paste code
Announcing BigQuery repositories: Git-based collaboration in BigQuery Studio Read More »
When it comes to managing the infrastructure and AI that powers Google’s products and platforms – from Search to YouTube to Google Cloud – every decision we make has an impact. Traditionally, meeting growing demands for machine capacity means deploying new machines and that has an associated embodied carbon impact. That’s why we’re working to
Harvesting hardware: Our approach to carbon-aware fleet deployment Read More »
Architecture decision records (ADRs) help you document and communicate important process and architecture decisions in your engineering projects. Based on our experience implementing over 200 ADRs across multiple projects, we’ve developed best practices that can help you streamline your decision-making processes and improve team collaboration. In this post, you’ll learn: How to implement ADRs in
For digital enterprises to remain competitive, resilience is essential for maintaining reliability and building customer trust. End users expect applications to be available 24 hours a day, leading companies to develop increasingly sophisticated methods to provide continuous operation of critical services. Some companies, such as financial services companies, have to meet regulatory requirements such as
