Category: Artificial Intelligence

This post was co-written with Avdhesh Paliwal of Oldcastle APG. Oldcastle APG uses Amazon Bedrock to automate 13 million manual order lines, reducing order processing time from hours to minutes. In the first two weeks of production, the system processed over 10,000 order lines with a 95% automation rate. A team of 2 developers and […]

How TGS gave 322 geoscientists across seven offices and 15 time zones a trusted, citation-grounded AI support agent built on AWS Quick. Scout cut time-to-solution-discovery from hours to minutes and moved from search to conversation to action, driving organic adoption and about 1,590 productivity days returned.

CTBC Bank moved COBOL reverse engineering for its core-system modernization from a single AI agent to a governed multi-agent pipeline on Amazon Bedrock AgentCore. A Supervisor coordinates seven single-responsibility sub-agents with quality gates checked in code, delivering an about fourfold efficiency gain with the audit trail a regulated bank needs.

Verisk partnered with AWS to build AI-SDLC: specialized AI agents spanning requirements, grooming, development, code review, and QA on Amazon Bedrock and Amazon Bedrock AgentCore, with people reviewing and approving the work at each stage. See the architecture, early productivity gains, and lessons from a regulated insurance environment.

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, 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.

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 […]

Healthcare organizations are being asked to widen access, protect increasingly thin margins, and keep clinicians from burning out. Telehealth is one of the most effective levers on all three, and it’s no longer a pandemic stopgap: 71.4 percent of physicians now use it weekly, nearly triple the pre-pandemic rate, and 72 percent of hospitals offer at least one telemedicine service (AMA, 2024). Adoption varies widely by specialty, from 68 percent of psychiatrists conducting more than a fifth of visits virtually to under 5 percent for surgical specialties, and behavioral health accounts for roughly two-thirds of telehealth claims nationally (FAIR Health, 2024), with primary care and chronic disease management as the next growth frontier. But telehealth’s promise is undercut by a growing burden: documentation is now the leading driver of clinician burnout, and that’s where agentic AI demonstrates its value.