Fine tuning IIoT predictive maintenance models According to Wael Elrifai, senior director of sales engineering and data science at Hitachi Vantara – the company’s IoT arm – one of the complexities of ...
In AIoT-based systems, sensors continuously collect high-frequency data such as vibration, temperature, pressure, and electrical signals. These data streams are processed by machine learning and deep ...
A recent Bain & Company report suggests predictive maintenance is just one area of industrial IoT that hasn’t met expectations. “Two years ago, predictive maintenance was forecast to be one of the ...
Industrial IoT Predictive Maintenance Platform Nanoprecise Secures Funding from Sensata Technologies
The leading predictive maintenance and reliability platform will use these funds to continue strengthening its solutions offering and expanding its global customer base EDMONTON, AB, May 5, 2021 ...
Imagine if a technician somehow knew that one of your home devices was going to fail soon, and showed up with the correct tools and parts to fix it at just the right moment. How much time, money, and ...
However, not all innovations are equal and nor do they follow a constant upward trend. Instead, their evolution takes the form of an S-shaped curve that reflects their typical lifecycle from early ...
Business News Daily provides resources, advice and product reviews to drive business growth. Our mission is to equip business owners with the knowledge and confidence to make informed decisions. As ...
Predictive maintenance tools can be used to identify problems before they occur, thereby allowing fleet managers to avoid costly and risky breakdowns The term “fleet management” refers to the ...
The US Department of Defense's innovation unit will use C3 IoT's platform to develop artificial intelligence tools for predictive maintenance of assets. C3 IoT said that it was selected by the Defense ...
Manufacturers know that unscheduled downtime due to tool failure is costly. Industrial Internet of Things (IIoT) solutions can help predict the maintenance needs of factory tools before they fail, ...
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