AWS for Industries

In this post you will explore how finance and actuarial teams can find a balance between the ability to scale models and to experiment with changes. AWS InsuranceLake accelerator solution will be used ingest commercial auto and workers compensation policy data containing written premiums and enrich it with calculated earned monthly premiums using an Excel spreadsheet-based model that has been turned into an API and made enterprise grade with Coherent Spark on AWS.

BMW Group is building toward Industry AI on Amazon SageMaker AI by fine-tuning task-specific LoRA adapters on engineering process data and serving multiple domain capabilities from a single endpoint. Large language models (LLMs) produce convincing output on general tasks, but company-internal engineering processes, proprietary taxonomies, and domain-specific quality standards aren’t represented in public training corpora. Prompting with rules and examples doesn’t reliably close this gap when a task imposes many hard constraints simultaneously because the model has no training signal telling it which constraints are inviolable. In this post, we describe the architecture, walk through the results, and present a repeatable framework you can apply to your own domain.

In this post, we summarize what HHS has proposed, when it is likely to matter, and how to use Amazon Web Services (AWS) to close the gaps now. We cover how AWS Backup maps to the three proposed backup and recovery obligations, and we introduce the HIPAA Assistant, an open source sample from AWS that reviews your infrastructure-as-code and application code for Security Rule gaps and cites each finding to the exact paragraph of the regulation.

Automotive firmware teams face a structural bottleneck: physical electronic control unit (ECU) hardware doesn’t scale at the pace of software development. Waiting for hardware access creates delayed test cycles, late defect detection, and limited parallel coverage across Software Defined Vehicle (SDV) programs.

In this post, you walk through a telco use case, modernizing an automation project built with TCL and Expect — a TCL extension for automating interactive command-line sessions — to Python 3.12 using a custom transformation definition. The same methodology applies to any legacy modernization effort in your organization.

In this post, we show how Santos modernized its subsurface computing environment on AWS: moving from distributed on-premises infrastructure to a centralized, cloud-based platform that delivers high performance computing (HPC), high performance storage, and secure remote visualization for more than 200 geoscientists across Australia.

In this post, we explore how Celfocus, an Amazon Web Services (AWS) Partner specializing in digital transformation for the telecommunications industry, built an automated Change Impact Analysis solution in collaboration with Fastweb+Vodafone, one of Italy’s leading telecommunications operators.

Manufacturers are facing a workforce shortage that is reshaping how intralogistics operations run for the next decade. According to Deloitte’s 2025 Manufacturing Industry Outlook, 1.9 million manufacturing jobs could go unfilled over the next ten years if talent challenges aren’t addressed. To close that gap, manufacturers are reshaping floor operations around faster, more automated material […]

Large enterprises across the world are looking to minimize effort, time, and cost for Site Reliability Engineering (SRE) and operations for their huge workloads, so they can channel resources towards innovation and productivity instead. At Daimler Truck, one of the largest commercial automotive manufacturers of the world, the IT Aftersales team worked with AWS Partner […]

The AWS for Telecom team invites you to join us at re:Invent in Las Vegas, NV, from November 30 to December 4, 2026. This year’s telecom track is built around interactive, hands-on sessions. Our lineup focuses on the real-world challenges telecom operators face today, so you leave with your questions answered and ready to move projects forward.