Targeted Ticket Sales Using ML for the Portland Trail Blazers w/ Mike Schumacher & Chenhui Hu

800 800 The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

In today’s episode of our AI in Sports series I’m joined by Mike Schumacher, director of business analytics for the Portland Trail Blazers, and Chenhui Hu, a data scientist at Microsoft.

In our conversation, Mike, Chenhui and I discuss how the Blazers are using machine learning to produce better-targeted sales campaigns, for both single-game and season-ticket buyers. Mike describes some of the early use cases the Trail Blazers explored in their drive to apply analytics to the process of increasing ticket sales. Chenhui elaborates on some of the unique challenges of the Trail Blazers’ dataset and the modeling techniques the team applied to solve their problem.


On July 17th at 5pm PT, Nic Teague will lead a discussion on the paper Quantum Machine Learning by Jacob Biamonte et al, which explores how to devise and implement concrete quantum software for accomplishing machine learning tasks. If you haven’t joined our meetup yet, visit to do so.

Also, be sure to sign up for our weekly newsletter. I recently shared a write up detailing the ML/AI Job Board we’re working on, and got a ton of encouragement and interest. To make sure you don’t miss anything, head over to to sign up.

About Mike

About Chenhui

Mentioned in the Interview

“More On That Later” by Lee Rosevere licensed under CC By 4.0

Leave a Reply

Your email address will not be published.