Get Ed Kuzemchak's Speaker Notes from IDTechEx 2018 on November 15th
November 15, 2018 in Santa Clara, CA
Santa Clara Convention Center
Understand challenges, benefits, and best practices that will make your project a success.
Learn from real-world examples of applying Fog-based machine learning IoT projects in the Industrial space.
Understand how a Fog-based IoT architecture presents an opportunity for introducing ML to your Industrial IoT system.
Kuzemchak’s presentation on November 15, 2018 discussed the unique characteristics of Industrial IoT systems as compared to IoT deployments in consumer, retail, and other domains.
Industrial IoT systems differ in their design due to their environmental and communication differences, rendering the entire business model of an Industrial IoT system different from that of consumer and retail IoT systems. The harsh conditions and limited communication bandwidth of Industrial IoT systems must be factored into Return on Investment (ROI) and cost/benefit decisions.
When deployed properly, Industrial IoT systems show great promise in terms of greater machine efficiency, longer life, and lower downtime rates. This includes using the Fog for Machine Learning in Industrial IoT systems, which Ed will also address in his speech.
The Fog refers to the space between the old edge nodes of Industrial systems and the cloud, where onsite data can be processed. Closer proximity to the data, centralization, and low latency communication makes the Fog an ideal location for the heavy lifting of ML in these Industrial systems.
Kuzemchak’s extensive experience in embedded engineering and IoT systems gives him a very practical viewpoint. He developed this lecture to provide actionable takeaways for the Industrial IoT industry. Ed will discuss the challenges, benefits, and best practices of Fog-based ML for Industrial IoT, including real-world examples across multiple industries such as smart retail, autonomous vehicles, and smart agriculture.
Want to listen to an IoT expert?
Get a copy of Ed’s presentation and listen to what he has to say.
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.