Improving Efficiency of Artificial Intelligence for Video Processing - Use-Cases and Adoption - with Arun Iyengar of Untether AI

Today’s guest is Arun Iyengar, CEO at Untether AI. Untether is a semiconductor firm based in Toronto, but with employees all over North America, including Silicon Valley. Arun previously worked with AMD, another major hardware and software firm in the Bay Area, before stepping into his current CEO role at Untether AI. In this episode, Arun shares some insight on the potential use-cases for video processing with artificial intelligence and some of the existing barriers for AI hardware, and how we might potentially overcome them. He also provides a perspective on where hardware is taking us into the future. There are a lot of use-cases for AI on the edge and there are a lot of new use-cases for video and image data – how can hardware play its part in being able to not only reduce the compute and financial cost of video processing but also open up new capabilities and enable businesses to do things that they couldn’t do before? This episode is brought to you by Untether AI If you’re interested in reaching Emerj’s global audience on the biggest B2B AI podcast on the web, be sure to visit emerj.com/ad1.