Online Event – June 11, 2020 – 9 am PDT / 2 pm EDT to 12 pm PDT / 3 PM EDT – Free Registration
Join us for a virtual event where we consult with experts applying machine learning to enable smarter streetlights, build smarter consumer products, protect firefighters, optimize oil refineries, and improve agriculture.
The “edge” is the hottest segment of the IoT right now, and for good reason. Computing at the edge can save time, bandwidth costs, and promote privacy. At this event, we’ll hear from experts who will help us define the edge and understand tradeoffs associated with different segments of the edge. We’ll also learn how Shell is deploying machine learning in its operations. Finally, we’ll hear from experts who are trying to build business models that work on the edge.
This event is for anyone who wants to develop a good understanding of what the edge is and how to take data and put it to good use, both from an industrial/enterprise perspective and consumer. We’ll touch on technical and business considerations while learning about compelling use cases from a variety of industries.
The event is free but registration is required.
Which Edge and Why 9-10 am PDT / 12-1 pm EDT
Everyone has their own version of the edge. In this panel, we figure out how to define your edge, and explain what to consider when designing algorithms and equipment to run those algorithms on. We’ll also talk about challenges associated with the edge whether that edge is a field in Nebraska, a factory in Texas, or a firefighter’s pack in Massachusetts.
- Julian Sanchez, Director of Precision Agriculture at John Deere
- Karen Panetta, Dean of Graduate Education for the School of Engineering at Tufts University and IEEE Fellow
- Peter Zornio, CTO at Emerson Automation Solutions
How Shell Uses Computing at the Edge 10-11 am PDT / 1-2 pm EDT
Shell has a lot of uses for machine learning at the edge, but deploying machine learning at scale across hundreds of thousands of nodes is still too difficult.
- Dan Jeavons, General Manager – Data Science at Shell
Making Money at the Outer Edge 11 am-12 pm PDT / 2-3 pm EDT
Companies are buying software and gear to help them process data at the edge under the hope that they can make money, increase efficiencies, or predict failures. But at the outer edge, the computing can get expensive and the business models can prove elusive. Our panel of experts talks about how to think about investing in the edge while still generating returns.
- Rob Martens, SVP and Chief Innovation and Design Officer at Allegion
- Simon Crosby, CTO at Swim.ai
- Jason Shepherd, VP of Ecosystem at Zededa
This event is brought to you for free thanks to the support of our sponsors. Please support them by visiting their web sites to learn more.
The Ergo edge inference processor from Perceive brings the accuracy and performance of data center processing to consumer devices such as security cameras, smart home products and mobile phones—all at ultra low power. By enabling data to be processed within edge devices, Ergo enhances consumer privacy and security while supporting smarter features and longer battery life. Learn more: www.perceive.io
Jumpstart your next IoT project with Avnet to get from idea to value, faster. Avnet makes it easier for companies to securely deploy end-to-end IoT solutions that turn data into transformative insights with our IoTConnect® Platform. To learn more about how Avnet can help your business simplify the complex, visit avnet.com/iot.
Meet Edge Impulse, the leading TinyML platform that developers and enterprises everywhere are adopting. Already working with Google, Arm, ST and more, this platform helps developers build advanced solutions using machine learning across remote monitoring, asset tracking, facility management, health, and consumer electronics. Edge Impulse is easy to use and free to start. Give it a try today!