Successful implementation and scaling of enterprise AI projects is fundamentally a people and operating model challenge, not just a technology problem.
Scaling enterprise AI: lessons in governance and operating models from IBM Read More »
In October 2024, Microsoft announced the Microsoft.Extensions.AI.Abstractions and Microsoft.Extensions.AI libraries for .NET. These libraries provide the .NET ecosystem with essential abstractions for integrating AI services into .NET applications from various providers such as Open AI, Azure, Google. Today, we’re happy to announce the Google.Cloud.VertexAI.Extensions library. This is the Vertex AI implementation of Microsoft.Extensions.AI. This library
Introducing Google Cloud Vertex AI Extensions for .NET Read More »
We’re running a survey to understand how people are using AI to learn and whether that’s helping, hurting, and replacing tools.
Are you learning with AI? We want to know about it! Read More »
aside_block <ListValue: [StructValue([(‘title’, ‘DISCLAIMER’), (‘body’, <wagtail.rich_text.RichText object at 0x7f377a87f280>), (‘btn_text’, ”), (‘href’, ”), (‘image’, None)])]> The BigQuery AI Hackathon, a six-week event that concluded on September 22, 2025, brought together thousands of developers from across the globe to build innovative solutions using BigQuery’s cutting-edge AI capabilities. With 5,350 entrants and 277 submissions, the hackathon was
BigQuery AI Hackathon: Celebrating Innovation and a Look at What’s New Read More »
We’re excited to announce concurrency in Google Kubernetes Engine (GKE) node pool auto-creation, to significantly reduce provisioning latency and autoscaling performance. Internal benchmarks show up to an 85% improvement in provisioning speed, especially benefiting heterogeneous workloads, multi-tenant clusters, workloads that use multiple ComputeClass priorities, and large AI training workloads, by cutting deployment time and enhancing
Accelerate GKE cluster autoscaling with faster concurrent node pool auto-creation Read More »
For over a decade now, Google has relied on Spanner, an always-on, virtually unlimited database to power global-scale applications like Gmail, YouTube, and Google Photos. Today, Spanner handles over 6 billion queries per second at peak and more than 17 exabytes of data, with five 9s of availability, plus global consistency. 2025 was a big
Spanner in 2025: Innovations powering intelligent, multi-model AI applications Read More »
What specific kind of bugs is AI more likely to generate? Do some categories of bugs show up more often? How severe are they? How is this impacting production environments?
Are bugs and incidents inevitable with AI coding agents? Read More »
Introduction This week Google and partners took action to disrupt what we believe is one of the largest residential proxy networks in the world, the IPIDEA proxy network. IPIDEA’s proxy infrastructure is a little-known component of the digital ecosystem leveraged by a wide array of bad actors. This disruption, led by Google Threat Intelligence Group
No Place Like Home Network: Disrupting the World’s Largest Residential Proxy Network Read More »
Editor’s Note: Our Future Mode series will give businesses insight into how Chrome Enterprise is approaching AI in the browser. Stay tuned for more blogs in this series. For the modern enterprise, the browser has already evolved beyond a simple application and has become the primary workspace where collaboration happens, sensitive data is accessed and
Future Mode Part 1: The intelligent and secure browser for enterprises Read More »
The world of artificial intelligence is moving at lightning speed. At Google Cloud, we’re committed to providing best-in-class infrastructure to power your AI and ML workloads. Dataflow is a critical component of Google Cloud’s AI stack that lets you create batch and streaming pipelines that support a variety of analytics and AI use cases. We’re
What’s new with ML infrastructure for Dataflow Read More »
