How AI is giving Northern Ireland teachers time back
A six-month long pilot program with the Northern Ireland Education Authority’s C2k initiative found that integrating Gemini and other generative AI tools saved participa…
Connect Amazon Bedrock agents to cross-account knowledge bases
Organizations need seamless access to their structured data repositories to power intelligent AI agents. However, when these resources span multiple AWS accounts integration challenges can arise. This post explores a practical solution for connecting Amazon Bedrock agents to knowledge bases in Amazon Redshift clusters residing in different AWS accounts. The challenge Organizations that build AI …
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Democratizing AI: How Thomson Reuters Open Arena supports no-code AI for every professional with Amazon Bedrock
This post is cowritten by Laura Skylaki, Vaibhav Goswami, Ramdev Wudali and Sahar El Khoury from Thomson Reuters. Thomson Reuters (TR) is a leading AI and technology company dedicated to delivering trusted content and workflow automation solutions. With over 150 years of expertise, TR provides essential solutions across legal, tax, accounting, risk, trade, and media …
Google is investing in Oklahoma’s workforce and talent pipeline.
AI is creating new opportunities for Oklahomans to learn, grow and succeed. Google is committed to making sure the Sooner State is not just ready for this transformation…
Introducing structured output for Custom Model Import in Amazon Bedrock
With Amazon Bedrock Custom Model Import, you can deploy and scale fine-tuned or proprietary foundation models in a fully managed, serverless environment. You can bring your own models into Amazon Bedrock, scale them securely without managing infrastructure, and integrate them with other Amazon Bedrock capabilities. Today, we are excited to announce the addition of structured …
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Introducing the File Search Tool in Gemini API
File Search is a fully managed Retrieval Augmented Generation (RAG) system built directly into the Gemini API.
Transform your MCP architecture: Unite MCP servers through AgentCore Gateway
As AI agents are adopted at scale, developer teams can create dozens to hundreds of specialized Model Context Protocol (MCP) servers, tailored for specific agent use case and domain, organization functions or teams. Organizations also need to integrate their own existing MCP servers or open source MCP servers for their AI workflows. There is a …
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AI and learning: A new chapter for students and educators
How Google approaches AI and education, from our tools to our commitment to responsibility.
Google Finance adds AI features for research, earnings and more
Learn more about the new Google Finance, including new features like Deep Search and prediction markets data.
How Amazon Search increased ML training twofold using AWS Batch for Amazon SageMaker Training jobs
In this post, we show you how Amazon Search optimized GPU instance utilization by leveraging AWS Batch for SageMaker Training jobs. This managed solution enabled us to orchestrate machine learning (ML) training workloads on GPU-accelerated instance families like P5, P4, and others. We will also provide a step-by-step walkthrough of the use case implementation. Machine …