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 “A.I. in 2025: Shifting from the Whiteboard to Implementation” 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,...
President of the Americas and Chief Commercial Officer, Daedalean
Yemaya Bordain, PhD, is the President of the Americas and Chief Commercial Officer at Switzerland-based Daedalean, a company creating certifiable AI-enhanced automation and autonomy for aviation. Based in the United States, she joined Daedalean in...