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Building Workforce AI Agents with Visier and Amazon Quick

Favorite Employees across every function are expected to make faster, better-informed decisions, but the information that they need rarely lives in one place. Workforce intelligence (who is in your organization, how they are performing, and where the gaps are) is one of the most valuable signals an enterprise has, and

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Shared by AWS Machine Learning April 24, 2026

Applying multimodal biological foundation models across therapeutics and patient care

Favorite Healthcare and life sciences decision making increasingly relies on multimodal data to diagnose diseases, prescribe medicine and predict treatment outcomes, develop and optimize innovative therapies accurately. Traditional approaches analyze fragmented data, such as ‘omics for drug discovery, medical images for diagnostics, clinical trial reports for validation, and electronic health

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Shared by AWS Machine Learning April 23, 2026

Hello From The New Executive Director

Favorite When I was saying goodbye to my last team, one of the final things I said to them was “Leading this organization has been the honor of my career.”  I should have added “so far.” I am grateful for the trust the board has placed in me, and I’m

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Shared by voicesofopensource April 23, 2026

Company-wise memory in Amazon Bedrock with Amazon Neptune and Mem0

Favorite This post is cowritten by Shawn Tsai from TrendMicro. Delivering relevant, context-aware responses is important for customer satisfaction. For enterprise-grade AI chatbots, understanding not only the current query but also the organizational context behind it is key. Company-wise memory in Amazon Bedrock, powered by Amazon Neptune and Mem0, provides

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Shared by AWS Machine Learning April 22, 2026

Amazon SageMaker AI now supports optimized generative AI inference recommendations

Favorite Organizations are racing to deploy generative AI models into production to power intelligent assistants, code generation tools, content engines, and customer-facing applications. But deploying these models to production remains a weeks-long process of navigating GPU configurations, optimization techniques, and manual benchmarking, delaying the value these models are built to

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Shared by AWS Machine Learning April 22, 2026