E-cast: Using Predictive Analytics to Reduce Equipment Downtime, Improve Product Quality and Decrease Costs in the Age of the Industrial Int

June 28, 2017

E-cast: Using Predictive Analytics to Reduce Equipment Downtime, Improve Product Quality and Decrease Costs in the Age of the Industrial Int

New Industrial Internet of Things (IIoT) solutions are helping manufacturers improve product quality, increase productivity, decrease costs, and make smarter business decisions. Already,...

New Industrial Internet of Things (IIoT) solutions are helping manufacturers improve product quality, increase productivity, decrease costs, and make smarter business decisions. Already, manufacturing facilities are becoming “smart factories,” where vast quantities of sensor data are continuously analyzed to increase productivity and efficiency. For example, IIoT sensors might monitor the temperature of a key piece of equipment, if the temperature begins to rise a predictive maintenance solution can take actions to avoid equipment or product damage and notify staff of the problem.

Presented by: PrismTech, IBM

<p><i>Speaker(s): Simon Collins (Senior Product Manager, PrismTech); Lynn Sweetwood (Senior Technical Solutions Specialist IBM Watson IoT Analytics, IBM)</p>

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