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Event: How to make machine learning at the edge work

Thank you to the hundreds of people who joined us on June 11, 2020 for our online event. You can now watch the videos of the event here below.

 

Graphic for Machine Learning at the Edge event

 

Schedule

Which Edge and Why 9-10 am PDT / 12-1 pm EDT

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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

Sponsors

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.

 

Perceive logo

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

 

Avnet logo

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.

 

Edge Impuls logo

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!

 

IoT Podcast

Listen to the latest episode of the Internet of Things Podcast. Just press play!

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