Category: Uncategorized

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.

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 […]

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.

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.

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 […]

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.

This blog announces the launch of the AWS guide to the ECB Guide on outsourcing cloud services to cloud service providers (the “AWS Guide”).

This is the first post in a two-part series exploring how AWS-native services, including Amazon Bedrock AgentCore, Amazon Neptune Analytics, Strands Agents, and a serverless data pipeline, power three transformative advisor capabilities:

In this blog, you will gain detailed insight into the scientific rigor behind Amazon Connect Health, including our training methods (supervised fine-tuning, reinforcement learning, multi-agent collaboration), how we validate against real-world data (automated and manual evaluation, LLM agentic environments), and the evidence mapping and source tracing we provide for every output to reinforce safety and trust.

In this blog post, we show how Rivian, a leading innovator in the electric vehicle market, is using this feature to support modern containerized workloads and highly available database architectures for their critical manufacturing workloads at the edge.