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AI, IIoT Partnership Adds New Options for Predictive Asset Maintenance
Predictive asset maintenance -- the ability of manufacturers, processing plants and other industrial environments to monitor the status of their equipment to prevent problems before they start -- is a relatively new movement that's been facilitated and accelerated by artificial intelligence (AI) and industrial Internet of Things (IIoT) technology.
This week, these factories and others in the IIoT space will get a new option. Israel-based Presenso has just announced that its machine learning solution for predictive asset maintenance has been chosen by manufacturing technology giant Siemens to be incorporated into that company's suite of Remote Diagnostic Services tools.
According to Presenso, as part of the partnership, its machine learning solution -- Auto ML to Big Data, an analytics platform used among other things to detect "subtle abnormal behavior patterns, indicative of evolving asset failure" -- is being deployed into Siemens Smart Field Sensors. This solution is currently in use by at least one oil and gas company, Presenso said.
"Presenso solution is available [now] for both OEMs which are now developing their Industry 4.0 offerings and to end users operating their own equipment," the company said in the announcement.
The official announcement of the partnership can be found here. More information about Presenso's Auto ML solution can be found here.
About the Author
Becky Nagel serves as vice president of AI for 1105 Media specializing in developing media, events and training for companies around AI and generative AI technology. She also regularly writes and reports on AI news, and is the founding editor of PureAI.com. She's the author of "ChatGPT Prompt 101 Guide for Business Users" and other popular AI resources with a real-world business perspective. She regularly speaks, writes and develops content around AI, generative AI and other business tech. She has a background in Web technology and B2B enterprise technology journalism.