This demo showcases how AWS combines IoT, edge AI, generative AI and agentic orchestration to transform how equipment manufacturers monitor, diagnose, and service their products and customers. It’s designed to inspire what’s possible with today’s technologies and help machine builders tackle their biggest challenges: closing workforce and skills gaps, scaling service operations while minimizing unplanned downtime and reducing mean-time-to-repair.
What you’ll see: An AI agent detects anomalies across a fleet, correlates telemetry against equipment manuals, diagnoses root causes, creates a service ticket, and initiates a voice call to the field operator — closed-loop resolution in minutes. Computer vision + VLMs on NVIDIA Jetson Orin detect safety hazards in sub-second at the edge. Safety rules are defined in natural language. Operators interact through natural voice for real-time troubleshooting guidance, with the AI agent retaining full awareness of live telemetry.
Key AWS services used: AWS IoT Core · AWS IoT SiteWise · AWS IoT Greengrass · Amazon Kinesis Video Streams · Amazon Connect · Amazon Nova Sonic · Amazon Bedrock · Amazon Bedrock AgentCore · Strands Agents · Amazon Bedrock Knowledge Bases · Amazon OpenSearch Service · Amazon Location Service
Get started: Explore the architecture patterns, reference code, and technical guidance to build your own Smart Machines capabilities on AWS. Reach out to your AWS account team or to the speakers. Visit https://go.aws/3U9C0PA to find out more.
Resources:
• Building Physical AI Enabled Smart Machines on AWS (Tech Guidance) https://go.aws/3TxLTqd
• Demo sample code: https://go.aws/4wBXy5L
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