I have also played with specialized machine learning (ML) acceleration hardware for computer vision with projects like Google's AIY Vision Kit and Intel's Movidius on the client side. Edge ML is powerful, but it has performance limits compared to scalable server-side approaches where you can add more and bigger processors.
Like nearly every annual conference, the CommCon event went virtual this year. I joined to give an update on how COVID-19 has impacted the RTC industry and what it might mean after pandemic dies down. In particular, I wanted to explore the Zoom phenomenon and why a company that seems
These are chaotic times for most businesses and contact centers are no exception. Depending on the business, the contact center may have increased call volumes and/or new staffing challenges with more dependency on home agents, shifting work schedules, and even agent furloughs in some cases. Automation is increasingly becoming
I teamed up with Dave Horton to do the #TADHack this past weekend. Although I have helped as a sponsor and even hosted a TADHack in Boston, it has been many years since I last entered as a participant (see that one here
). This year a subtheme was Intelligent Agents.
Experimenting with running computer vision locally in the browser using TensorFlow.js has been on my bucket list to play with as part of my regular AI in RTC research. The recent warnings to avoid touching your face got me thinking there should be some kind of webcam monitor that