Presented By O'Reilly and Cloudera
Make Data Work
March 13–14, 2017: Training
March 14–16, 2017: Tutorials & Conference
San Jose, CA
Christopher Bergh

Christopher Bergh
head Chef, DataKitchen

Website | @ChrisBergh | Attendee Directory Profile

Christopher Bergh is a founder and head chef at DataKitchen, where, among other activities, he leads DataKitchen’s Agile Data initiative. Chris has more than 25 years of research, engineering, analytics, and executive management experience. Previously, he was regional vice president in the Revenue Management Intelligence group in Model N; was COO of LeapFrogRx, a descriptive and predictive analytics software and service provider (where he led the 2012 acquisition of LeapFrogRx by Model N); was CTO and vice president of product management of MarketSoft (now part of IBM), an innovative enterprise marketing management software vendor; developed Microsoft Passport, the predecessor to Windows Live ID, a distributed authentication system used by hundreds of millions of users today (and was awarded a US patent for his work on that project); led the technical architecture and implementation of Firefly Passport, an early leader in internet personalization and privacy acquired by microsoft; and led the development of the first travel-related ecommerce web site at NetMarket. Chris began his career at the Massachusetts Institute of Technology’s Lincoln Laboratory and NASA’s Ames Research Center, where he created software and algorithms that provided aircraft arrival optimization assistance to air traffic controllers at several major airports in the United States. Chris also served as a Peace Corps volunteer math reacher in Botswana, Africa. Chris holds an MS from Columbia University and a BS from the University of Wisconsin-Madison. He is an avid cyclist, hiker, and reader and is the father of two teenagers.

Sessions

2:40pm3:20pm Thursday, March 16, 2017
Christopher Bergh (DataKitchen), Gil Benghiat (DataKitchen)
Average rating: ****.
(4.50, 2 ratings)
Data analysts, data scientists, and data engineers are already working on teams delivering insight and analysis, but how do you get the team to support experimentation and insight delivery without ending up in an IT versus data engineer versus data scientist war? Christopher Bergh and Gil Benghiat present the seven shocking steps to get these groups of people working together. Read more.