How Connected Products Enable Predictive Maintenance
Using analytics and AI, OEMs of connected equipment can gain a deep understanding of the status of a machine and move to a predictive maintenance mode of …
How real-time data is used to predict when an asset should be repaired, replaced, or its useful life extended.
Using analytics and AI, OEMs of connected equipment can gain a deep understanding of the status of a machine and move to a predictive maintenance mode of …
Equipped with predictive maintenance solutions, fleet owners and OEMs will enjoy reduced maintenance prices, improved sustainability, and greater overall …
The right to repair will pave the way for a new kind of business model for manufacturers, in which they focus on selling outcomes or services rather than …
Ownership of remotely serviced equipment, as well as the right to repair said equipment, could emerge as an issue across many other product
Manufacturing has a very broad set of use cases for artificial intelligence including predictive maintenance, quality control, price forecasting, and
Creating new applications using low code development platforms can lead to innovative solutions to old problems such as how to better manage spare parts …
Most manufactures (84%) are currently implementing or evaluating digital manufacturing strategies, whereas only 27% were doing so in 2018.
The accurate prediction of energy consumption at a specific time under many outside and inside conditions becomes an essential step to improve energy …
CI based on analysis of sensor and IoT data can help spot state changes in devices and make predictions about an asset's failire
Stanley Black & Decker's new service optimizes equipment and prevents costly downtime at dusty