Presented By
O’Reilly + Intel AI
Put AI to Work
April 15-18, 2019
New York, NY
Discover opportunities for applied AI
Organizations that successfully apply AI innovate and compete more effectively. How is AI transforming your business?
Be a part of the program—apply to speak by October 16.
Till Bergmann

Till Bergmann
Senior Data Scientist, Salesforce

Till Bergmann is a Senior Data Scientist at Salesforce Einstein, building platforms to make it easier to integrate machine learning into Salesforce products, with a focus on automating many of the laborious steps in the machine learning pipeline. Before Salesforce, he obtained a PhD in Cognitive Science at the University of California, Merced, where he studied collaboration patterns of academics using NLP techniques.

Sessions

1:50pm2:30pm Thursday, April 18, 2019
Case Studies, Machine Learning
Location: Sutton South
Till Bergmann (Salesforce), Leah McGuire (Salesforce)
A problem in predictive modeling data is label leakage. At Enterprise companies such as Salesforce, this problem takes on monstrous proportions as the data is populated by diverse business processes, making it hard to distinguish cause from effect. We will describe how we tackled this problem at Salesforce, where we need to churn out thousands of customer-specific models for any given use case. Read more.