AWS for Industries
Category: Uncategorized
Edge-to-Cloud Architecture for Real-Time Surgical Intelligence with AWS and NVIDIA
Learn how to architect an end-to-end pipeline that processes surgical video at the edge for de-identification, instrument detection, and surgical phase recognition—while using the cloud for model training and fleet management.
Reimagining B-Pillar DFMEA: Why Ontology-Grounded AI Is the Future of Automotive Engineering
This two-part series explores how ontology-grounded agentic AI transforms Design Failure Mode and Effects Analysis (DFMEA) for safety-critical automotive components — from the strategic imperative driving adoption to the architectural patterns and implementation details. In this post, we focus on: How AI can help with DFMEA, how engineering ontologies enable AI to reason for failure mechanisms rather than pattern-match, and what engineering leaders should prioritize today.
Transforming energy trading by managing complexity and driving growth with Cloud ETRM
In this post, we explore how modern, cloud-based ETRM solutions, like PCI’s ETRM, can help energy leaders better manage portfolio risks and navigate volatile markets with confidence.
Flexible Telecom AI Workload Deployment Across AWS Hybrid Cloud
This blog introduces a structured placement approach for AI workloads across AWS hybrid infrastructure. By evaluating each AI lifecycle phase against four dimensions (data sovereignty, latency, data gravity, and operational readiness), architects can determine the optimal deployment tier among AWS Regions, AWS Local Zones, AWS Outposts and AWS AI Factories.
Building a HIPAA-ready generative AI architecture for healthcare on AWS
In this post, we describe a comprehensive, HIPAA-ready generative AI architecture for healthcare on Amazon Web Services (AWS) using a defense-in-depth approach. By layering compliance controls at multiple distinct levels, this architecture creates a system where no single point of failure compromises patient data protection, and each component that touches ePHI is independently auditable.
Build an AI-powered 5G Signaling Trace Analyzer Using Amazon Bedrock
Telecom engineers routinely analyze decoded signaling traces to troubleshoot network issues, validate procedure execution, and accelerate root cause analysis. In 5G networks, even a single registration attempt can span multiple layers such as NAS and NGAP. The registration attempt includes security context establishment and carries identifiers such as Subscription Concealed Identifier (SUCI), Globally Unique Temporary […]
The Road to 180M GRefs/s: Sizing Epic on AWS with R8ib and Enhanced EBS
Amazon Web Services (AWS) announces the availability of the new Amazon Elastic Compute Cloud (Amazon EC2) r8ib.96xlarge instance for healthcare workloads in this blog.
BridgeWise builds responsible AI in FSI with Amazon Bedrock
In this post, we show how BridgeWise was able to overcome these challenges when developing their wealth AI platform with responsible AI in mind. BridgeWise is a global leader in AI for wealth.
Improving Defect Analysis and Quality Control with AI Diagnostics
How Jabil, Siemens Mendix, and AWS transformed manufacturing diagnostics in four weeks In manufacturing, every production defect means lost revenue, delayed shipments, and potential customer dissatisfaction. For Jabil, a global manufacturer with over 100 facilities across more than 25 countries serving customers in industries like data center infrastructure, healthcare, automotive, and energy, rapid defect diagnosis […]
Building a cloud-based EV charging monitoring platform with real-time AI analytics
In this post, we share how Iberdrola-BP Pulse in conjunction with GaleoTech, a systems integrator specialized in Internet of Things (IoT) for the energy sector, built EVBrain—a cloud-based platform on AWS that enables real-time monitoring, proactive incident detection, and AI-powered analytics for EV charging infrastructure across Spain.








