Speaker "Kilton Hopkins" Details Back



How to do IoT machine learning at the edge using open-source


In this session, we will explore the significant advantages of doing IoT machine learning and AI processing at the edge. This is known as "fog computing" in the IoT industry. We will walk through an example of how to package the machine learning engine and distribute it to edge processing hardware. The end result will be a live demonstration of a machine learning system running in the room, all built with open source technologies that can scale.


Kilton started programming computers when he was 8 years old. That was 1986. He started a software company a few years later. The world is very different than it was back then, but Kilton is still bringing new tech companies to life. He currently serves as IoT Program Director for Level program at Northeastern University. He also serves as the Co-Founder and Chief Executive Officer of IOTRACKS, which provides the world with open technologies for building a better Internet of Things. He is the creator of the Eclipse ioFog open-source fog computing technology. Kilton lives in Berkeley, California. He received his MBA from The University of Chicago Booth School of Business in 2010. He likes to meditate, make music, and read about everything scientific.