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Claudia Perlich
Dstillery
Claudia Perlich is the Chief Scientist at Dstillery (formerly Media6Degrees) and
teaches data mining for business intelligence in the MBA program of the Stern School
of Business, New York University. In the top 50 of Forbes' Top 100 Most Promising
Companies in America, Dstillery is an advertising technology company that uses sci-
entific methods to capture the full customer journey by collecting massive quantities
of data from both the digital and the physical worlds to identify patterns that are
unique to the brand and indicate consumer intent. Their models predict outcomes
prescribed by the marketer—right person, right time, right platform, right channel.
The scope of these models, the data necessary to build them, and the ever-changing
tastes and behaviors of customers bring challenges in terms of data infrastructure
(decisions and responses to ad bid requests have to occur in less than 30 millisec-
onds over 30 billion times a day), privacy, fraud, model accuracy, and knowing how
to think about the correctness of models.
Perlich grew up in East Germany and did not interact with a computer until she
was 15 years old. After taking her MA in Computer Science from the University of
Colorado and her PhD in Information Systems from NYU, Perlich worked in data ana-
lytics research at IBM's Watson Research Center, where she won the KDD CUP—a
data science competition sponsored by the Association for Computing Machinery
(ACM)—three years in a row (2007-2009). She holds multiple patents in machine
learning and is the author more than 50 scientific papers. She has taught at NYU,
MIT, Wharton, and Columbia. Her contributions to data science have been recognized
by many organizations, including the Association for Computing Machinery (ACM),
Crain's New York Business, Fast Company, the Advertising Research Foundation, and
the American Marketing Association.
 
 
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