Scaling MLflow for enterprise AI: What’s New in SageMaker AI with MLflow

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

How Swisscom builds enterprise agentic AI for customer support and sales using Amazon Bedrock AgentCore

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

How Harmonic Security improved their data-leakage detection system with low-latency fine-tuned models using Amazon SageMaker, Amazon Bedrock, and Amazon Nova Pro

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

4 highlights from Google Beam in 2025

Favorite Google Beam, our first true-to-life 3D video communication platform, made great progress in 2025. View Original Source (blog.google/technology/ai/) Here.

Implement automated smoke testing using Amazon Nova Act headless mode

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

These developers are changing lives with Gemma 3n

Favorite From enhancing assistive technology to addressing the digital divide, developers built mobile-first solutions to address real-world problems in the Gemma 3n Impact Chall… View Original Source (blog.google/technology/ai/) Here.

Open Source Without Borders: Reflections from COSCon’25

Favorite Last week, I had the honor of delivering the opening keynote at the China Open Source Conference (COSCon’25) in Beijing, as Kaiyuanshe celebrated its 10th anniversary. Standing before a community that this year is witnessing a “Deepseek moment” driven by open innovation was both humbling and inspiring. The conference

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Shared by voicesofopensource December 10, 2025

Real-world reasoning: How Amazon Nova Lite 2.0 handles complex customer support scenarios

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