The Data-Driven Engineering Revolution


Date:  Tuesday, May 25

Start Time: 10:00 am

End Time: 10:30 am

In this talk, IoT industry pioneer and Edge Impulse co-founder Zach Shelby will share insights about how machine learning is revolutionizing embedded engineering. Advances in silicon and deep learning are enabling embedded machine learning (TinyML) to be deployed where data is born, from industrial sensor data to audio and video.

Zach will explain the new paradigm of data-driven engineering with ML, showing how developers are using data instead of code to drive algorithm innovation. To support widespread deployment, ML workloads need to run on embedded computing targets from MCUs to GPUs, with MLOps processes to support efficient development and deployment. Industrial, logistics and health markets are particularly ripe to deploy this data-driven approach, and Zach will highlight several exciting case studies.

Track

Session Speakers

  • Zach is co-founder and CEO of Edge Impulse, where he and his colleagues are on a mission to enable the ultimate development experience for machine learning on embedded devices for sensors, audio and computer vision, at scale. Zach was the co-founder of the ground-breaking company Sensinode, where he was CEO and CTO before its acquisition by ARM. At ARM he served as Vice President of Marketing and Director of Technology for Internet of Things. He is an active investor and advisor for tech startups, including CubiCasa (PropTech), Augumenta (AR), Petasense (Industrial IoT) and Walkia (LED lighting). Zach founded the Micro:bit Foundation in 2016 to bring the brilliant educational work of the BBC to children and teachers around the world. Since then Micro:bit has been used by millions of young people in 50+ countries. Zach is a pioneer in the use of IP and Web technology in low-power networks with 6LoWPAN and CoAP standards development, and is co-author of the book “6LoWPAN: The Wireless Embedded Internet”. Zach was awarded the Nokia Foundation Award in 2014 for his work on the Internet of Things.


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The Data-Driven Engineering Revolution