Building the Future of Manufacturing: Agentic Predictive Maintenance with MongoDB Atlas

Описание: Explore the reference implementation from this demo on GitHub: https://github.com/mongodb-industry-s...
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Unplanned downtime is one of the biggest challenges in modern manufacturing—costing thousands or even millions per hour. Predictive maintenance has helped anticipate failures, but what if AI could go further?
In this video, see how MongoDB Atlas, LangGraph, and Amazon Bedrock enable a multi-agent predictive maintenance system that doesn’t just detect issues—it diagnoses root causes, generates work orders, and schedules repairs automatically.
Discover how manufacturers can combine real-time IoT data, intelligent agents, and a powerful data foundation to achieve faster diagnostics, fewer outages, and smarter operations on the factory floor.

Chapters:
00:00 - The Problem with Unplanned Outages
00:32 - Predictive Maintenance and the Rise of AI Agents
01:13 - The Data Foundation: Why MongoDB Atlas?
02:03 - The Multi-Agent System Architecture
02:27 - Step-by-Step Walkthrough: The Four-Step Process
03:36 - Live Demo
04:21 - The Agentic Process Continues
05:14 - Autonomous Intelligence in Action

#AIinManufacturing #PredictiveMaintenance #MongoDBAtlas #AIagents #MachineLearning #Automation #Manufacturing

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