Category: Artificial Intelligence

Manufacturers have been using AI and robotics in their operations for years. The question is no longer how these technologies improve operations, it’s how to deploy industrial AI autonomously at production scale without replacing existing infrastructure, locking into a single vendor, or spending years in pilot mode. AWS provides the digital thread foundation, edge-to-cloud infrastructure, […]

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.

This blog explains how multi-agent AI systems can automate the reasoning chain between supply chain data and action—closing the gap that control towers leave open by translating natural language questions into SQL queries, performing root cause analysis, and generating execution-ready materials in seconds rather than hours.

​​​​​​​AWS is building the infrastructure for programmatic advertising’s shift to agentic AI where autonomous agents plan campaigns, orchestrate models, and optimize bids across the full funnel. Today, the bidstream processes billions of decisions daily, each within milliseconds, relying on rule-based heuristics and lightweight models constrained by real-time latency budgets and CPU-only infrastructure. That constraint is […]

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.

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.

Learn how at the 2026 AWS Life Sciences Symposium, we brought together some of the most innovative companies in MedTech to share what it takes to build in this environment, and what becomes possible when you have the right data foundation and AI backbone.

In this post, we show how to build that system on Amazon Elastic Kubernetes Service (Amazon EKS), Amazon Bedrock, and Amazon Bedrock AgentCore, with authentication, tracing, cost control, and sandboxed code execution at every layer.

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 […]

In this post, we show how a multi-agent AI system built on Amazon Bedrock can accelerate the MLR process. A fleet of specialized AI agents running on Amazon Bedrock AgentCore collaborates to cross-check content against scientific literature, style guides, regulatory codes, and pre-approved claims.