Favorite This post is cowritten by Renata Salvador Grande, Gabriel Bueno and Paulo Laurentys at Rede Mater Dei de Saúde. The growing adoption of multi-agent AI systems is redefining critical operations in healthcare. In large hospital networks, where thousands of decisions directly impact cash flow, service delivery times, and the

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Shared by AWS Machine Learning April 15, 2026

Favorite Practical benchmarks showing faster inter-token latency when deploying Qwen3 models with vLLM, Kubernetes, and AWS AI Chips. Speculative decoding on AWS Trainium can accelerate token generation by up to 3x for decode-heavy workloads, helping reduce the cost per output token and improving throughput without sacrificing output quality. If you

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Shared by AWS Machine Learning April 15, 2026

Favorite Amazon Quick Sight, the business intelligence (BI) capability of Amazon Quick, is a unified BI service. It provides modern interactive dashboards, natural language querying, pixel-perfect reports, machine learning (ML) insights, and embedded analytics at scale. Amazon Quick brings together AI agents for business insights, research, and automation in one

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Shared by AWS Machine Learning April 15, 2026

Favorite Agentic AI is transforming how organizations use generative AI, moving beyond prompt-response interactions to autonomous systems that can plan, execute, and complete complex multi-step tasks. While early proof of concepts in Agentic AI spaces excite business stakeholders, scaling them to production requires addressing scalability, governance, and security challenges. Amazon

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Shared by AWS Machine Learning April 14, 2026

Favorite This is guest post by David Lord, Taylor Lord, Shiva Prasad, Anup Banasavalli Hiriyanagowda, Nikhil Chandra from Guidesly. Guidesly is reshaping how outdoor recreation is booked, run, and experienced. Founded in 2019, it began as a way to connect anglers, hunters, divers, and outdoor recreation enthusiasts with trusted guides,

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Shared by AWS Machine Learning April 14, 2026

Favorite Deploying and scaling foundation models for generative AI inference presents challenges for organizations. Teams often struggle with complex infrastructure setup, unpredictable traffic patterns that lead to over-provisioning or performance bottlenecks, and the operational overhead of managing GPU resources efficiently. These pain points result in delayed time-to-market, suboptimal model performance,

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Shared by AWS Machine Learning April 14, 2026

Favorite Amazon SageMaker JumpStart provides pretrained models for a wide range of problem types to help you get started with AI workloads. SageMaker JumpStart offers access to solutions for top use cases that can be deployed to SageMaker AI Managed Inference endpoints or SageMaker HyperPod clusters. Through pre-set deployment options,

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Shared by AWS Machine Learning April 14, 2026

Favorite Generative AI is reshaping how organizations approach productivity, customer experiences, and operational capabilities. Across industries, teams are experimenting with generative AI to unlock new ways of working. Many of these efforts produce compelling proofs of concept (POC) that demonstrate technical feasibility. The real challenge begins after those early wins.

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Shared by AWS Machine Learning April 14, 2026

Favorite Building effective reward functions can help you customize Amazon Nova models to your specific needs, with AWS Lambda providing the scalable, cost-effective foundation. Lambda’s serverless architecture lets you focus on defining quality criteria while it handles the computational infrastructure. Amazon Nova offers multiple customization approaches, with Reinforcement fine-tuning (RFT) standing

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Shared by AWS Machine Learning April 13, 2026

Favorite Stateful MCP client capabilities on Amazon Bedrock AgentCore Runtime now enable interactive, multi-turn agent workflows that were previously impossible with stateless implementations. Developers building AI agents often struggle when their workflows must pause mid-execution to ask users for clarification, request large language model (LLM)-generated content, or provide real-time progress

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Shared by AWS Machine Learning April 9, 2026