Sept. 30 – Many large technical conferences such as PASS Summit have a thorny problem: It’s hard for attendees to get into all the sessions they want to attend. The solution is to do a better job with session scheduling and room allocation, assigning sessions with larger expected attendance to  bigger rooms.

This year, Data Scientist and active PASS member Dev Nambi volunteered to help the PASS Program Team put predictive analytics to work to help predict which PASS Summit 2014 sessions would be most attended so we could schedule them in larger rooms. I encourage you to read Dev’s detailed explanation of the project, “Let Me In! The Attendance Challenge,” on his blog. 

After this year’s Summit, we will review each session’s actual attendance and other factors and continue to work with Dev on adding other possible inputs and improving the prediction model. We’re excited about leveraging predictive analytics for future Summits and other PASS events.

Dev and the Program Team will be hosting Office Hours at Summit (stay tuned for details) to review this effort with the PASS community. The Program Team will also be available during these times to talk about how the Program Committee works and other PASS Program-related topics. As always, please feel free to email me or the PASS Program team at with any feedback.

See you at PASS Summit 2014!
– Amy Lewis
Director of PASS Programs