Azure IoT Predictive Maintenance solution accelerator
Imagine taking preventative maintenance to the next level and identify failures before they happen. This solution allows you to proactively predict equipment failures and enables you to systematically prevent them.Watch a demo
Improve overall customer responsiveness and product quality
Proactively predict product failures enabling you to improve your customer relationships while simultaneously improving product quality through reduced waste and rework. Drive new differentiated business models for service providers.
Drive new differentiated business models for service providers
By harnessing and analysing customer and product data, you put your organisation in a better position to spot trends, identify new opportunities, and innovate faster.
Avoid unscheduled downtime of equipment and unnecessary maintenance
Leveraging insights from data across multiple operations and work sites enable you to monitor performance, proactively identify problems, and automate fixes.
How it works
The Azure IoT Predictive Maintenance solution gives you better visibility into equipment status, letting you resolve issues before they disrupt your business.Watch the video
Monitor your assets in near-real time by collecting data through Azure IoT solution accelerators. This allows you to create automatic alerts and actions, such as remote diagnostics, maintenance requests, and other workflows.
Then perform historical analysis of your data and predict when you need to service equipment.
Realize the potential of predictive maintenance with IoT
Imagine if you could predict equipment failures before they happen and systematically prevent them. That's what predictive maintenance offers. View the six steps for a getting-started guide on how to approach predictive maintenance projects.
Partner perspectives: predictive maintenance on the frontlines
In this two-part series, we will hear from our partners at BlueMetal, Dynamics Software, Harman, and ICONICS, and discuss what got them started with predictive maintenance, and what benefits they’ve realised for their customers and themselves.Read the article
Partner perspectives: predictive maintenance on the frontlines (Part 2)
Read the article
We’re continuing our conversation on predictive maintenance with our partners from BlueMetal, Dynamics Software, Harman and ICONICS, and discuss common business objectives and concerns as well as the barriers to adoption partners encounter when talking with customers.
IoT-enabled predictive maintenance
Stay ahead of the unexpected with the predictive power of advanced analytics and the Internet of Things (IoT).Learn more
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