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Managing Amazon Bedrock costs end to end: A playbook for FinOps and platform teams

Cost management for generative AI is a shared responsibility between the teams that build applications and the teams accountable for cloud spend. Many teams start by comparing per-model token rates and asking application teams to shorten prompts. Those steps help, but they don’t answer the questions that finance and engineering leaders ask as usage scales: …

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How the UK Amazon Quick User Group grew in 2026

The Amazon Quick User Group – United Kingdom is a community of Amazon Quick users in the United Kingdom who meet quarterly to exchange knowledge, share best practices, learn through hands-on sessions, and discuss their experiences using the service. These user groups function as collaborative forums where members learn, connect, and innovate together. Whether you’re …

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Building an Agentic AI Platform on Amazon Bedrock AgentCore

If you’ve tried to get an agent into production, the model and tool use are not the blocker. The main bottleneck is everything around them: how many teams can build within a secure environment, which team owns each model and tool, how AgentOps and error handling stay inside a pre-defined boundary, and how platform, Workstream, …

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AWS named a Leader in the 2026 Gartner Magic Quadrant for Contact Center as a Service

I’m proud to share that Amazon Web Services (AWS) has been named a Leader in the 2026 Gartner Magic Quadrant for Contact Center as a Service (CCaaS) for Amazon Connect for the fourth consecutive year. We believe this recognition reflects years of work pushing on what’s possible in customer experience. When we launched Amazon Connect …

Scale agents securely with IAM Helper Agent Skills and MCP Tools

As organizations adopt autonomous agents to build applications, securing identities and access has become more challenging. Developers relying on agents to provision cloud resources, write Terraform, and deploy microservices at machine-speed only find their CI/CD pipelines blocked even faster as security friction scales.   To help you get ahead of agentic-era Identity and Access Management, …

GHARP: Real-Time Gaussian Head Animation from Large-Scale Reconstruction Prior

We present GHARP (Real-time Gaussian Head Animation from Large-scale Reconstruction Prior), a method that animates 3D human heads in real time from a few input images of a subject and a driving expression signal. We decouple the problem into an identity stage that builds a representation of the subject’s geometry and appearance offline, and an …

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Making Failure Diagnosis Reliable with Pensive AI

By Praneeth Yenugutala, Victor Dusa, Anastasia Samoilova, Megan Ren, Justin Wei, Marcelo Mayworm At Netflix, data and machine learning practitioners run millions of workloads each day across orchestration systems and compute engines such as Titus, Spark, Trino, and Druid. On peak days, roughly 100,000 workloads fail. When workloads fail, the failure itself is only the beginning. …

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Fleet-wide computer vision lifecycle at the edge with SageMaker SDK v3

Fleet-wide computer vision model lifecycle management is a problem that shows up the moment a quality inspection proof of concept succeeds. One camera and one model work fine. Then the plant asks for the same result on 40 lines, each with several cameras, and every camera sees the world differently. Each has a different angle, …

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Easy to integrate, compliant by design: Bringing the Swiss Franc to Google Cloud Universal Ledger

Every day, countless financial transactions are interrupted by slow, expensive, and inflexible conventional payment systems. As a result, public commercial stablecoins like Tether, USDC, and PayPal USD have become increasingly popular by making it easy to move money efficiently with instant, 24/7 blockchain settlement. Yet major regulated banks have largely kept such transactions at arm’s …

Scientists overcome a hidden obstacle to more powerful quantum computers

Scientists have discovered a way to operate multiple silicon qubits simultaneously with remarkable accuracy, overcoming a major challenge in scaling up quantum computers. Their new technique maintained accuracy of approximately 99.9% even when all five qubits were running at once, opening the door to larger and more powerful quantum processors.