Browsing: Operations

If you run foundation model (FM) workloads on Amazon SageMaker HyperPod, you know the work is rarely a single task. It is a chain of dependent ones. An infrastructure team creates the network and control plane, attaches accelerator capacity, and installs cluster dependencies in the right order. It also prepares storage and identity, keeps distributed…

Scaling support operations requires handling rising ticket volumes, meeting strict Service Level Agreements (SLAs), adapting to evolving compliance requirements, and maintaining documentation that quickly becomes outdated, all without proportional increases in headcount. In many teams, the knowledge required to resolve tickets is fragmented across SOPs, recordings, and tribal expertise, forcing analysts to spend significant time…

The U.S. National Science Foundation is establishing the NSF National Artificial Intelligence Research Resource Operations Center (NSF NAIRR-OC) to strengthen the nation’s capacity for AI research and AI-enabled scientific discovery. The investment will provide the operational foundation for NAIRR, a national public-private effort designed to expand access to advanced AI research capabilities and expertise, contributing…

Ask any mortgage operations leader where their teams lose the most time, and you will rarely hear “underwriting decisions” or “borrower conversations.” You will hear some version of “finding things.” A customer service representative toggles between systems to answer a single borrower question. A processor hunts through policy documents to confirm a procedure. An underwriter…

Data engineering teams routinely spend weeks standing up a single new data source: writing ETL, hand-writing quality checks, updating semantic models, and validating compliance. The Agentic Data Operations Platform (ADOP) on AWS is designed to significantly accelerate that timeline. It’s a reference architecture built on Amazon Bedrock and your AI coding tool of choice. Specialized…