Automate Amazon QuickSight data stories creation with agentic AI using Amazon Nova Act

Favorite Amazon QuickSight data stories support global customers by transforming complex data into interactive narratives for faster decisions. However, manual creation of multiple daily data stories consumes significant time and resources, delaying critical decisions and preventing teams from focusing on valuable analysis. Each organization has multiple business units, and each

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Shared by AWS Machine Learning October 8, 2025

Responsible AI: How PowerSchool safeguards millions of students with AI-powered content filtering using Amazon SageMaker AI

Favorite This post is cowritten with Gayathri Rengarajan and Harshit Kumar Nyati from PowerSchool. PowerSchool is a leading provider of cloud-based software for K-12 education, serving over 60 million students in more than 90 countries and over 18,000 customers, including more than 90 of the top 100 districts by student

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Shared by AWS Machine Learning October 7, 2025

Secure ingress connectivity to Amazon Bedrock AgentCore Gateway using interface VPC endpoints

Favorite Agentic AI applications represent a significant development in enterprise automation, where intelligent agents autonomously execute complex workflows, access sensitive datasets, and make real-time decisions across your organization’s infrastructure. Amazon Bedrock AgentCore accelerates enterprise AI transformation by providing fully managed services that remove infrastructure complexity, maintain session isolation, and enable

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Shared by AWS Machine Learning October 4, 2025

Unlock global AI inference scalability using new global cross-Region inference on Amazon Bedrock with Anthropic’s Claude Sonnet 4.5

Favorite Organizations are increasingly integrating generative AI capabilities into their applications to enhance customer experiences, streamline operations, and drive innovation. As generative AI workloads continue to grow in scale and importance, organizations face new challenges in maintaining consistent performance, reliability, and availability of their AI-powered applications. Customers are looking to

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Shared by AWS Machine Learning October 4, 2025

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

Favorite 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 information that could be spent on higher-value work. The

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Shared by AWS Machine Learning October 3, 2025

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

Favorite 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 in more than 400 offices in 139 countries. They

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Shared by AWS Machine Learning October 2, 2025