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Google Beam, our first true-to-life 3D video communication platform, made great progress in 2025. ​ 

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 AI, giving security teams the power …

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

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 June 2025 exemplifies how organizations can …

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

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 introduces enterprise-scale features including seamless access …

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

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 trust what they can’t see?  This …

Amazon Bedrock AgentCore Observability with Langfuse Read More »

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 your CI/CD pipeline. Smoke testing is …

Implement automated smoke testing using Amazon Nova Act headless mode Read More »

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… ​ 

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 systems fail when faced with nuanced …

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

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 Quick Suite to address this problem. …

Create AI-powered chat assistants for your enterprise with Amazon Quick Suite Read More »

A new global survey of executives, decision makers and knowledge workers reveals that organizations truly transforming with AI are seeing real results that move their bu… ​