IIoT (Industrial Internet of Things) Webcast Series

Upcoming Webcasts:

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

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.

On-Demand Webcasts:

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

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.

The The 2017 Industrial Internet of Things (IIoT) Webcast Series

The Industrial Internet of Things (IIoT) is a transformational strategy that is revolutionizing manufacturing operations across the world. CFE Media publications take an in-depth look at IIoT-related issues, strategies, and opportunities. Building on the past IIoT Webcasts, the 2017 four-part series will examine concepts, technologies, applications and case uses for IIoT and of interest to engineers, managers, and technicians across the production industries. Click here to register for the full webcast series.

Webcast One: Get your head into the cloud 
Thursday, April 13, 2017 at 11 a.m. PT/1 p.m. CT/2 p.m. ET/7 p.m. GMT

Automation technologies are converging with information technologies. To handle growing volumes of data generated by IIoT-enabled devices, companies will need powerful data processing capability. Cloud-based environments transform how process-automation projects are engineered and instantiated, replacing client/server. This Webcast focuses on how emergent IIoT technologies change the way process and automation engineers execute projects and sustain productivity in today’s, and tomorrow’s, cyber-physical world. Click here to register.

Webcast Two: Take sensing and control to the edge 
Thursday, June 8, 2017 
at 11 a.m. PT/1 p.m. CT/2 p.m. ET/7 p.m. GMT

Put computing power at the process edge, where measurements happen, and aggregate the results in the cloud. With ubiquitous, lowcost sensing, you can condition-monitor not just high-priced machines and equipment, but also plant substructures like steam traps and vents. Connected assets and rich data do more than give a hint of impending failure. It’s a way to better understand how a process works, and thereby optimize its results. This Webcast will focus on how better sensing leads to big data, and how in future, process control will be found—at the process. Click here to register.

Webcast Three: IIoT transforms predictive maintenance 
Thursday, August 24, 2017
 at 11 a.m. PT/1 p.m. CT/2 p.m. ET/7 p.m. GMT 

Manufacturers exploiting the latest IIoT industrial-connectivity and analytics advances are melding operations and maintenance data to spot trends that lead managers to contextualized, actionable insights. At the same time, they are building the plant-floor technology infrastructure of the future. Connecting complex machinery and equipment to operations and enterprise systems enables machine learning, predictive maintenance and secure monitor and alarm. IIoT addresses significant integration challenges posed by the unique data types generated by the many kinds of machinery and equipment found in plant environments, from CNC machines to robotics. Click here to register.

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


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