IIoT (Industrial Internet of Things) Webcast Series

Upcoming Webcasts:

IIoT series: Current issues and applications

Thursday, October 25, 2018, at 11 a.m. PT/1 p.m. CT/2 p.m. ET
One (1) Certified Professional Development Hour (PDH) available for all attendees.

Click here to learn more.
Click here to register.

On-Demand Webcasts:

IIoT series: Get started with simulation, analytics & modeling

Air Date: Thursday, August 23, 2018, at 11 a.m. PT/1 p.m. CT/2 p.m. ET
One (1) Certified Professional Development Hour (PDH) available for all attendees.

Click here to learn more.
Click here to register.


IIoT Webcast Series 2018, Part Two: The role of connectivity in collaborative projects

Air Date: Thursday, June 14, 2018, at 11 a.m PT/1 p.m. CT/2 p.m. ET
One (1) Certified Professional Development Hour (PDH) available for all attendees.

Click here to learn more.
Click here to register.


Industrial Internet of Things Webcast Series 2018, Webcast One: Cloud and mobility in field operations

Air Date: Thursday, April 19, 2018, at 11 a.m. PT/1 p.m. CT/2 p.m. ET
One (1) Certified Professional Development Hour (PDH) available for all attendees.

Click here to learn more.
Click here to register.
 


Webcast Four: Preventive maintenance: technologies, applications and business models 

Air Date: Thursday, October 19, 2017 at 11 a.m. PT/1 p.m. CT/2 p.m. ET/7 p.m. GMT 

What IIoT-based predictive maintenance and services means is that an equipment supplier can assume greater responsibility for the condition of its equipment in the field, and a plant manager can monitor key points in production for integration with enterprise systems. In either case, we’re talking about use of real-time machine data and analytic models to determine equipment health. The knowledge gained allows convenient scheduling of corrective maintenance that prevents unexpected equipment failures.

Real-time data, connectivity and analytics use supports business models that increasingly rely on 3rd-party services rather than in-house resources. We’re headed toward a world where real-time device-telemetry collections will integrate with predictive models generated by machine learning, with the model’s “findings” presented via dashboards and visualizations. Tune into this webcast to hear more about it.

Click here to register.

 

click me