5 ways AI agents will transform the way we work in 2026
Today, Google Cloud dropped its 2026 AI Agent Trends Report.
Today, Google Cloud dropped its 2026 AI Agent Trends Report.
This post is co-written with Ranjit Rajan, Abdullahi Olaoye, and Abhishek Sawarkar from NVIDIA. AI’s next frontier isn’t merely smarter chat-based assistants, it’s autonomous agents that reason, plan, and execute …
Building natural voice conversations with AI agents requires complex infrastructure and lots of code from engineering teams. Text-based agent interactions follow a turn-based pattern: a user sends a complete request, …
We’re expanding our content transparency tools to help you more easily identify AI-generated content. You can now check if a video was edited or created with Google AI d…
Kaggle’s AI Agents Intensive with Google brought learners together in a no-cost course to build and deploy the next frontier of AI.
Learn how Gemini 3 powers Google Search with Generative UI, Nano Banana, and interactive graphics.
Building custom foundation models requires coordinating multiple assets across the development lifecycle such as data assets, compute infrastructure, model architecture and frameworks, lineage, and production deployments. Data scientists create and …
Tracking and managing assets used in AI development with Amazon SageMaker AI Read More »
A user can conduct machine learning (ML) data experiments in data environments, such as Snowflake, using the Snowpark library. However, tracking these experiments across diverse environments can be challenging due …
Gemini 3 Flash offers frontier intelligence built for speed at a fraction of the cost.
Picture this: Your enterprise has just deployed its first generative AI application. The initial results are promising, but as you plan to scale across departments, critical questions emerge. How will …
Governance by design: The essential guide for successful AI scaling Read More »