GenAI News

Enhance agentic workflows with enterprise search using Kore.ai and Amazon Q Business

This post was written with Meghana Chintalapudi and Surabhi Sankhla of Kore.ai. As organizations struggle with exponentially growing volumes of data distributed across multiple repositories and applications, employees lose significant time—approximately 30% according to the International Data Corporation (IDC)—searching for...

Accelerate development with the Amazon Bedrock AgentCore MCP server

Today, we’re excited to announce the Amazon Bedrock AgentCore Model Context Protocol (MCP) Server. With built-in support for runtime, gateway integration, identity management, and agent memory, the AgentCore MCP Server is purpose-built to speed up creation of components compatible...

Rox accelerates sales productivity with AI agents powered by Amazon Bedrock

This post was co-written with Shriram Sridharan, Taeuk Kang, and Santhosh Kumar Manavasi Lakshminarayanan from Rox. Rox is building a new revenue operating system for the applied AI era. Modern revenue teams rely on more data than ever before, such as...

How Hapag-Lloyd improved schedule reliability with ML-powered vessel schedule predictions using Amazon SageMaker

This post is cowritten with Thomas Voss and Bernhard Hersberger from Hapag-Lloyd. Hapag-Lloyd is one of the world’s leading shipping companies with more than 308 modern vessels, 11.9 million TEUs (twenty-foot equivalent units) transported per year, and 16,700 motivated employees...

Modernize fraud prevention: GraphStorm v0.5 for real-time inference

Fraud continues to cause significant financial damage globally, with U.S. consumers alone losing $12.5 billion in 2024—a 25% increase from the previous year according to the Federal Trade Commission. This surge stems not from more frequent attacks, but from fraudsters’...

Rapid ML experimentation for enterprises with Amazon SageMaker AI and Comet

This post was written with Sarah Ostermeier from Comet. As enterprise organizations scale their machine learning (ML) initiatives from proof of concept to production, the complexity of managing experiments, tracking model lineage, and managing reproducibility grows exponentially. This is primarily...
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