Get Ed Kuzemchak's Webinar Slides from IIoT/Cloud series, Part 2: Edge, Fog, and Cloud on June 20, 2019
June 20th, 2019 • IIoT for Engineers • IIoT/Cloud series, Part 2: Edge, Fog, and Cloud
Discover what types of application technologies will emerge on the basis of Fog and cloud, including analytics and machine learning.
Learn the difference between edge, cloud, and Fog computing and what role the two technologies will increasingly play in process control and automation.
Understand why edge computing is an increasingly viable means of achieving enhanced monitoring and control of industrial processes.
Learn how the edge, Fog, and cloud impact data management.
Edge computing resources—including gateways, multipurpose devices, and computational resources—are being used to do more processing out at the “edge” of an IoT network, rather than sending all information for processing up to the cloud. This relieves bandwidth constraints, lessens latencies, and improves system security and reliability. These computational resources at the edge, referred to as the Fog, can filter or process data so that only what’s needed is transmitted between production control or enterprise systems and the cloud.
In this webinar, we’ll discuss how some of the options are evolving.
- Large volumes of streaming data can be processed and stored at the edge, e.g., for domain control, human/machine interface, supervisory control (SCADA), AI/ML, and others.
- Fog processing takes place at the gateway level, where more processing power is available, but close enough to the equipment to support closed-loop control.
- Other applications can be installed on a central server and used over a network, with converged sensors, instrumentation, and assets.
In this webinar you will learn about the kinds of computing resources, as well as the applicable standards and protocols, applications, and data management options relevant to the edge, Fog and cloud.
Ed Kuzemchak, Director and CTO, Software Design Solutions
Charles C. Byers, Associate CTO, Industrial Internet Consortium
Steve Hilton, Co-Founder and President, MachNation
Kevin Parker, Moderator and Senior Contributing Editor, CFE Media & Technology
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Learn from a real Industrial IoT expert
Ed founded Software Design Solutions (SDS) in 2003, focusing the company on embedded systems software development, and led the growth of the company from inception to its acquisition by Applied Visions in September 2016.
Prior to founding SDS, Ed was chief software architect for the digital signal processing (DSP) tools group at Texas Instruments. He joined Texas Instruments as part of the acquisition of the Carnegie Mellon spin off Tartan Laboratories, which developed highly optimized compiler technology for embedded systems. His career began at Raytheon Missile Systems, where he led the compiler team for the Patriot Missile system.
Ed holds an MS in Computer Science from the University of Pittsburgh. He is the author of several patents on embedded systems software. Ed developed this presentation to provide actionable takeaways for the Industrial IoT industry.
CTO and Director, Embedded and IoT Engineering
Meet Ed Kuzemchak, Chief Technology Officer & Director of Embedded and IoT Engineering at Software Design Solutions. Ed recently delivered an enthusiastically received presentation at IoT DevCon 2018 outlining the unique benefits of Fog-based Machine Learning and Industrial IIoT.