Presented By O’Reilly and Cloudera
Make Data Work
March 5–6, 2018: Training
March 6–8, 2018: Tutorials & Conference
San Jose, CA
Noah Burbank

Noah Burbank
Salesforce

Noah Burbank is a software engineer on Salesforce’s intelligence services team, where he focuses on the application of artificial intelligence to improve the quality of decisions that his customers can make everyday in their businesses. He holds a PhD in decision and risk analysis from Stanford University, where his research simplified complex decision making techniques for application in everyday life.

Sessions

11:50am–12:30pm Thursday, March 8, 2018
Building a contacts graph from activity data
Data engineering and architecture
 Location: 230 C
Secondary topics:  Graphs and Time-series
Alexis Roos (Salesforce), Noah Burbank (Salesforce)
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In the customer age, being able to extract relevant communications information in real time and cross-reference it with context is key. Alexis Roos and Noah Burbank explain how Salesforce uses data science and engineering to enable salespeople to monitor their emails in real time to surface insights and recommendations using a graph modeling contextual data. Read more.