USE YOUR DATA WISELY WITH INDUSTRIAL INTERNET OF THINGS (IIOT)
Get hold of your data—then use it wisely. Bring computing to your data streams to shorten decision times and eliminate the expense and risk of sending data to the cloud. Find relationships in your data to determine cause and effect, and improve efficiency and predictability. You can make the most of your data with Industrial Internet of Things (IIoT) solutions from HPE.
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UPGRADE YOUR DATA USING INDUSTRIAL IOT (IIOT)
Use your data to manufacture more quickly, predict failures, reduce unexpected downtime, and increase automation.
Analyze data at the edge
Converge OT and IT data in ruggedized systems with data center-like capabilities at the edge.
Industrial IoT (IIoT) connects and protects your data and devices.
Build a network to connect, protect, and use data. Is your IoT infrastructure ready to deliver measurable ROI?
Get the most from your IIoT data
Tap the power of artificial intelligence, machine learning, deep learning, and advanced analytics to uncover insights and employ intelligence to your IIoT data.
HPE is positioned in the Leaders category in the 2020 worldwide IDC MarketScape for business and industrial IoT consulting and systems integration services
INDUSTRIAL IOT (IIOT) SOLUTIONS
Automate and drive insights from your IoT data and apps by connecting, analyzing, and sharing data.
HPE Edgeline Converged Edge Systems
Systems that can connect, compute, and store data at the edge with data center-like capabilities. HPE Edgeline systems can aggregate and filter data, while also analyzing video streams, time series data, and translating industrial protocols.
Tour a refinery of the future
Visit an operating chemical processing plant that leverages advanced industrial IoT (IIoT) capabilities for improved process analytics, up-time, customer satisfaction, video analytics, and worker safety.
Seagate optimizes manufacturing using AI analytics at the edge
Seagate is working to improve productivity using an edge-to-cloud architecture that converges operational and information technologies to result in greater efficiency and productivity during manufacturing.
Bring in new technologies such as deep learning, machine learning, and neural networks to analyze images, improve product quality, and manufacturing efficiency.
"What we get is the ability to have central control of OT resources in our factories as though they were IT data center resources."
Seagate now has the ability to make real time decisions, leading to greater efficiency and productivity in its manufacturing process.