Head of Machine Learning

Splunk

Ram is the head of Machine Learning at Splunk. His group applies and advances state of the art machine learning in areas relevant to Splunk. They also develop machine learning based insights that power Splunk’s core products. Prior to Splunk, he worked at Databricks where he led all engineering and product development for the Genomics Vertical and started the R&D center for Apache Spark in Amsterdam. Prior roles also include Principal Scientist at Yahoo Research where he focused on large scale machine learning and real time machine learning in search and display advertising, as well as login risk detection. He holds a PhD in Theoretical Physics from the University of Maryland. He is also an Apache Spark PMC Member and Committer, and in his spare time he creates and maintains open source projects like Magellan (fast geospatial analytics on top of Spark).

Watch Session

Machine Learning: The Secret to Understanding Massive Volumes of Data

Over recent years, organizations across industries have either digitized or were...