Customizing text content moderation with Amazon Nova

Favorite Consider a growing social media platform that processes millions of user posts daily. Their content moderation team faces a familiar challenge: their rule-based system flags a cooking video discussing “knife techniques” as violent content, frustrating users, while simultaneously missing a veiled threat disguised as a restaurant review. When they

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Shared by AWS Machine Learning October 10, 2025

Use Amazon SageMaker HyperPod and Anyscale for next-generation distributed computing

Favorite This post was written with Dominic Catalano from Anyscale. Organizations building and deploying large-scale AI models often face critical infrastructure challenges that can directly impact their bottom line: unstable training clusters that fail mid-job, inefficient resource utilization driving up costs, and complex distributed computing frameworks requiring specialized expertise. These

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Shared by AWS Machine Learning October 10, 2025

Implement a secure MLOps platform based on Terraform and GitHub

Favorite Machine learning operations (MLOps) is the combination of people, processes, and technology to productionize ML use cases efficiently. To achieve this, enterprise customers must develop MLOps platforms to support reproducibility, robustness, and end-to-end observability of the ML use case’s lifecycle. Those platforms are based on a multi-account setup by

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Shared by AWS Machine Learning October 9, 2025

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