Developing a system that deploys Edge-based AI is the goal for most developers (as opposed to Cloud-based AI), for a host of reasons. It removes latencies associated with sending data off-prem; it increases security because your data always remains on-prem; and it lets you control the complete design and implementation/deployment of the platform. Our experts in this session will show you how to do that and more.
This session is part of our “AI in 2025: Shifting the discussion to the Edge” webinar series. Registration/event page here.
Srinivas, CEO of Pantherun, brings a wealth of experience in cybersecurity, embedded product design, and high-throughput communication, with a career spanning over two decades in the semiconductor and tech industries. A computer science graduate,...
Dr. Niels Haandbaek is a Director of Engineering at Daedalean AG in Zürich, Switzerland, where he leads a team of hardware engineers, driving innovative technology development for future products. He has more than two decades of experience...
Staff Engineer, Solutions Engineering Lead - Presales, Edge Impulse (a Qualcomm company)
Brandon Shibley leads the pre-sales solutions engineering team at Edge Impulse where he designs & consults on Edge AI solutions for smart products & edge automation. Prior to Edge Impulse, he led R&D at Toradex as Chief Technology Officer,...
Monica Houston leads the AI / ML Applications Team for Tria Americas, where she focuses on enabling machine learning on Tria’s SOMs and developer kits. An avid maker and tinkerer, Monica founded the Seattle Arduino Meetup and was employee #2...