In this episode of the ARCHITECHT AI Show, SigOpt co-founder and CEO Scott Clark talks about the how and why his company is delivering "optimization as a service" to machine learning models. While deep learning models are powerful, for example, achieving optimal performance can require tuning hundreds of hyperparameters—a time-consuming process when done manually. Clark also discusses the business of selling into the AI workflow; the very-necessary gap between academic research and production systems; and his time kicking off the Yelp Dataset Challenge.

In the news segment, co-hosts Derrick Harris, Signe Brewster and Chris Albrecht cover John Deere's acquisition of Blue River Technology; Drive.ai's partnership with Lyft; Facebook and Microsoft new AI standard; and what to make of the new MIT-IBM Watson AI Lab.