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Build self-service AWS Health analytics to find actionable health insights with AI agents powered by Amazon Bedrock

Favorite On a typical Monday morning, an enterprise operations team receives multiple AWS Health notifications about Amazon Linux 2 end-of-life, RDS version deprecations, and EC2 instance retirements across 50+ accounts. Without self-service analytics, the team has no way to quickly identify the events that affect production systems, the events that

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Shared by AWS Machine Learning June 25, 2026

Implementing super resolution by deploying SeedVR2 on Amazon SageMaker AI

Favorite As display technologies advance to higher resolutions, many organizations face a common challenge: their existing video libraries contain lower-resolution content that appears pixelated or blurry on modern high-definition displays. Traditional video upscaling approaches often struggle with computational limits, inconsistent quality, and scalability issues when processing large video collections. Many

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Shared by AWS Machine Learning June 25, 2026

Retrofit, don’t rebuild: Agentic overlays for transforming legacy enterprise services

Favorite The opinions expressed in this post are the authors’ views and not those of Cisco. Enterprise architectures have long been centered on REST APIs and microservices. These systems are stable, well-tested, and deeply embedded in production environments. They weren’t designed for Agent-to-Agent (A2A) communication, the emerging standard for autonomous

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Shared by AWS Machine Learning June 25, 2026

AI-powered BI with Snowflake and Amazon Quick

Favorite One dashboard shows 42,000 active movie view counts while another shows 38,500. Your chat agent references a third number entirely. Data teams spend hours reconciling numbers instead of answering strategic questions, and trust in analytics erodes. This is a pattern that we see across many organizations. Teams spend more

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Shared by AWS Machine Learning June 24, 2026