Favorite As cloud infrastructure becomes increasingly complex, the need for intuitive and efficient management interfaces has never been greater. Traditional command-line interfaces (CLI) and web consoles, while powerful, can create barriers to quick decision-making and operational efficiency. What if you could speak to your AWS infrastructure and get immediate, intelligent
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Shared by AWS Machine Learning December 12, 2025
Favorite The rise of artificial intelligence (AI) agents marks a change in software development and how applications make decisions and interact with users. While traditional systems follow predictable paths, AI agents engage in complex reasoning that remains hidden from view. This invisibility creates a challenge for organizations: how can they
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Shared by AWS Machine Learning December 11, 2025
Favorite Today we’re announcing Amazon SageMaker AI with MLflow, now including a serverless capability that dynamically manages infrastructure provisioning, scaling, and operations for artificial intelligence and machine learning (AI/ML) development tasks. It scales resources up during intensive experimentation and down to zero when not in use, reducing operational overhead. It
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Shared by AWS Machine Learning December 11, 2025
Favorite This post was written with Arun Sittampalam and Maxime Darcot from Swisscom. As we navigate the constantly shifting AI ecosystem, enterprises face challenges in translating AI’s potential into scalable, production-ready solutions. Swisscom, Switzerland’s leading telecommunications provider with an estimated $19B revenue (2025) and over $37B Market capitalization as of
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Shared by AWS Machine Learning December 11, 2025
Favorite This post was written with Bryan Woolgar-O’Neil, Jamie Cockrill and Adrian Cunliffe from Harmonic Security Organizations face increasing challenges protecting sensitive data while supporting third-party generative AI tools. Harmonic Security, a cybersecurity company, developed an AI governance and control layer that spots sensitive data in line as employees use
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Shared by AWS Machine Learning December 11, 2025
Favorite Automated smoke testing using Amazon Nova Act headless mode helps development teams validate core functionality in continuous integration and continuous delivery (CI/CD) pipelines. Development teams often deploy code several times daily, so fast testing helps maintain application quality. Traditional end-to-end testing can take hours to complete, creating delays in
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Shared by AWS Machine Learning December 10, 2025
Favorite Teams need instant access to enterprise data and intelligent guidance on how to use it. Instead, they get scattered information across multiple systems. This results in employees spending valuable time searching for answers instead of making decisions. In this post, we show how to build chat agents in Amazon
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Shared by AWS Machine Learning December 9, 2025
Favorite Artificial intelligence (AI) reasoning capabilities determine whether models can handle complex, real-world tasks beyond simple pattern matching. With strong reasoning, models can identify problems from ambiguous descriptions, apply policies under competing constraints, adapt tone to sensitive situations, and provide complete solutions that address root causes. Without robust reasoning, AI
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Shared by AWS Machine Learning December 9, 2025
Favorite Insurance underwriting requires analyzing multiple data sources, evaluating risks, and making decisions that meet regulatory requirements. The underwriters face three core challenges: Siloed data scattered across Customer Relationship Management (CRM) systems, document repositories, and transactional databases Regulatory requirements for explainable, auditable decisions that traditional black box AI can’t satisfy
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Shared by AWS Machine Learning December 8, 2025
Favorite AgentCore Gateway now supports API GatewayAs organizations explore the possibilities of agentic applications, they continue to navigate challenges of using enterprise data as context in invocation requests to large language models (LLMs) in a manner that is secure and aligned with enterprise policies. To help standardize and secure those
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Shared by AWS Machine Learning December 8, 2025
Shared by AWS Machine Learning December 12, 2025
