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

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

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 business unit creates and operates multiple …

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Implement automated monitoring for Amazon Bedrock batch inference

Implement automated monitoring for Amazon Bedrock batch inference

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies through a single API, along with capabilities to build generative AI applications with security, privacy, and responsible AI. Batch inference in Amazon Bedrock is for larger workloads where immediate responses aren’t critical. With a batch …

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

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

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 enrollment in the United States. When …

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

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

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 scale their AI inference workloads across …

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