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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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 …
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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, …
Read more “Scale agents securely with IAM Helper Agent Skills and MCP Tools”
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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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 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, …
Read more “Fleet-wide computer vision lifecycle at the edge with SageMaker SDK v3”
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 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.
By Roberto Perez Alcolea, Java Platform Team Quasar connects a proposed API change with observed references in consumer repositories, giving the producer evidence for a release decision At Netflix, shared Java libraries support applications developed across a large, independently evolving repository ecosystem. A library change begins in one repository, but its impact can reach many others. Producers …
Read more “Beyond API Compatibility: Building a Tool to Measure the Blast Radius of Library Changes”
Most fine-tuning teaches a model to produce a better answer to a single prompt. Agentic tasks are different. An agent that files an expense report or triages a support ticket takes a sequence of actions, and each step depends on what came before. There’s rarely one correct sequence to imitate, and the only reliable feedback …
Read more “Multi-Turn Reinforcement Learning on Amazon SageMaker AI: A hands-on guide”