Internet of Things

Create the Internet of Your Things by connecting your devices, assets and sensors to collect untapped data. Improve performance and reduce costs with remote monitoring. Predict equipment failures before they happen with predictive maintenance.

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“We wanted to go beyond the industry standard of preventive maintenance, to offer predictive and even preemptive maintenance, so we can guarantee a higher uptime percentage on our elevators.”

Andreas Schierenbeck, CEO, thyssenkrupp Elevator

Connect your devices worldwide for remote monitoring

Collect untapped data and create predictive models when you connect your devices, assets and sensors to the cloud—from a few sensors to millions of devices. By accessing global production and supply chain data, you wll reduce costly downtime and maintenance to increase productivity.

“What we are talking about is delivering a degree of collaboration and visibility unheard of in the oil and gas industry. With sensors, software and the cloud, these disparate assets can become part of a connected enterprise, powered at its core by a rich flow of data.”

Doug Weber, Business Manager

Increase asset reliability with predictive maintenance

Focus on what matters most to your customers: reliability. Vastly improve operations and asset availability with predictive and even preemptive, maintenance by gathering and transforming data from sensors and systems.

“I call it the ‘virtual troubleshooter’. When the elevator reports that it has a problem, it sends out an error code and the three or four most probable causes of that error code. In effect, our field technician is being coached by this expert citizen.”

Rory Smith, Director of Strategic Development for the Americas

Build Internet of Things solutions with confidence

Enhance security across physical devices, connections and data. Use per-device authentication by setting up individual identities and credentials for each of your connected devices and retain the confidentiality of both cloud-to-device and device-to-cloud messages.

Schneider Electric
”As Schneider Electric helps our customers solve their operational challenges through mission-critical, IoT-enabled solutions, it is imperative that customers can trust the integrity and security of their mission-critical systems will not be compromised. By building our IoT platform on Azure IoT Suite, we are able to leverage its industry-leading security, privacy, and compliance capabilities necessary to instill confidence in our customers that their enterprise systems are secure end-to-end.”

Cyril Perducat, Executive Vice President of IoT and Digital Transformation

Predict equipment failures before they happen

Head off potential problems, while promoting equipment efficiency, with predictive maintenance. Collect and analyse data from your connected assets to proactively plan maintenance, decrease downtime and improve retention of the asset value.

“Our TotalCare maintenance programme was revolutionary in the ‘90s, so we are pioneers ourselves and by collaborating with a fellow pioneer like Microsoft, we can absolutely bring innovative digital solutions to airlines now.”

Alex Dulewicz, Head of Marketing for Services

Bring the Internet of Things to life with Azure IoT Starter Kits

Start innovating today with Internet of Things (IoT) starter kits that include development boards that are Azure Certified for IoT, sensors and actuators. Use the easy-to-follow tutorials and seamlessly connect your devices to the cloud.

Solution architectures

Anomaly detection with machine learning Diagram showing 10 connected icons. At the top left is the icon for time series data. Connected by a one-way arrow to the right is Event Hubs, and further to the right, connected by a one-way arrow is Stream Analytics. Continuing to the right and down, a one-way arrow leads to Azure SQL Database, which is connected by a one-way arrow to Power BI at the far right. Going back to Stream Analytics, a one-way arrow leads down to Table Storage, and Table storage is connected by a mutual arrow down to Data Factory. Data Factory is connected to four other icons. Connected by a mutual arrow to the left is Machine Learning for anomaly detection. Connected downward by a one-way arrow is Visual Studio Application Insights for monitoring and telemetry. Connected by a one-way arrow up and to the right is Azure SQL Database. That arrow is labeled “Save Machine Learning output.” Connected by a one-way arrow to the right is Service Bus topics, with publish and subscribe capabilities. That arrow is labeled “Publish anomalies detected.” Machine Learning(Anomaly Detection) Service Bus topics(Publish/subscribe capabilities) Visual Studio Application Insights(Monitoring and telemetry) Event Hub(Event queue) Table Storage(Big Data store) Stram Analytics(Realtime analytics) Metadata Save ML output Score each dataset Publish anomalies detected Power BI Azure SQL DB(Anomaly detection results) Data Factory Time series data

Anomaly detection with machine learning

Microsoft Azure’s IT Anomaly Insights can help automate and scale anomaly detection for IT departments to quickly detect and fix issues.

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