A broken AC unit leads to hours on hold, multiple service calls, and days of waiting for parts. This common scenario highlights a fundamental problem in IoT device management: the disconnect between device data and service response.
AWS Solutions Architects Judith Joseph and DC walk through a practical implementation that bridges this gap. The demonstration shows how to:
* Collect and analyze device telemetry data
* Detect equipment anomalies before failure
* Automate service ticket creation using Generative AI
* Route technical information to field teams
* Enable predictive maintenance
The solution combines AWS IoT Core for device connectivity, Amazon Bedrock for intelligent processing, and Amazon SageMaker for anomaly detection. Through a live demo, you'll see how real-world device data flows through the system, triggering automated responses and providing actionable insights.
In this segment you’ll learn about this solution’s:
* Architecture and component interaction
* MQTT protocol implementation
* Machine learning model integration
* Error handling and notification systems
* Data visualization with QuickSight
⏱️ Timeline:
27:29 - Show Introduction
28:02 - Meet the Solutions Architects
29:22 - Customer Experience Story
32:03 - OEM Challenges Discussion
34:33 - Architecture Deep Dive
37:55 - Live Demo
42:24 - Q&A Bot Implementation
48:23 - Solutions Library Overview
Find complete documentation, architecture diagrams, and deployment code in the AWS Solutions Library: https://awsonair.net/41zY3zk
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Questions about implementation? Drop them in the comments below.
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