Claudia Perlich

Chief Scientist at Dstillery

Claudia Perlich currently acts as chief scientist at Dstillery (previously m6d) and in this role designs, develops, analyzes, and optimizes the machine learning that drives digital advertising. She has published more than 50 scientific article and holds multiple patents in machine learning. She has won many data mining competitions and best paper awards at KDD and is acting as General Chair for KDD 2014. Before joining m6d in February 2010, Perlich worked in the Predictive Modeling Group at IBM’s T. J. Watson Research Center, concentrating on data analytics and machine learning for complex real-world domains and applications. She holds a PhD in information systems from NYU and an MA in computer science from Colorado University and teaches in the Stern MBA program at NYU. @claudia_perlich

Weathering the Data Storm
Track: Applied Data Science and Machine Learning

Location:

Abstract:
Display advertising is a great playground for data enthusiasts who want to explore the opportunities and pitfalls of the 'Big Data' promise. At Dstillery we collect daily about 10 billion user events, representing the digital and geo-physical journeys of millions of people on desktops, tablets, and mobile phones. This talk will touch on a number of challenges including privacy-preserving representations, robust high-dimensional modeling, large-scale automated learning systems, transfer learning, and fraud detection. Finally I will touch on a few higher-level lessons and pose the paradox of big data and predictive modeling: You never have the data you need.