Presented By O'Reilly and Cloudera
Make Data Work
September 25–26, 2017: Training
September 26–28, 2017: Tutorials & Conference
New York, NY
Eric Colson

Eric Colson
Chief Algorithms Officer, Stitch Fix

Website | @ericcolson

Eric Colson is Chief Algorithms Officer at Stitch Fix. Previously, Eric was vice president of Data Science & Engineering at Netflix. He holds a BA in economics from SFSU, an MS in information systems from GGU, and an MS in management science and engineering from Stanford.

Sessions

11:20am12:00pm Wednesday, September 27, 2017
Data-driven business management, Machine Learning & Data Science
Location: 1A 06/07 Level: Intermediate
Eric Colson (Stitch Fix)
Average rating: ****.
(4.67, 3 ratings)
While companies often use data science as a supportive function, the emergence of new business models has made it possible for some companies to differentiate via data science. Eric Colson explores what it means to differentiate by data science and explains why companies must now think very differently about the role and placement of data science in the organization. Read more.
2:55pm3:35pm Wednesday, September 27, 2017
Location: O'Reilly booth (Table A)
Eric Colson (Stitch Fix)
Stop by to meet Eric to get ideas on how manage your data science team to foster innovation and how to transform a data science team that merely serves a supportive role to one that leads with data science. Read more.
5:25pm6:05pm Wednesday, September 27, 2017
Data-driven business management, Strata Business Summit
Location: 1E 10/11 Level: Non-technical
Secondary topics:  Marketing, Retail
Moderated by:
Hilary Milnes (Glossy)
Panelists:
Karen Moon (Trendalytics), Jared Schiffman (Perch Interactive), Eric Colson (Stitch Fix), Catherine Twist (Xcel Brands (Isaac Mizrahi, C. Wonder, Halston, Judith Ripka))
Average rating: *....
(1.00, 1 rating)
Karen Moon, Jared Schiffman, Eric Colson, and Catherine Twist explore how the retail industry is embracing data to include consumers in the design and development process, tackling the challenges associated with the wealth of sources and the unstructured nature of the data they handle and process and how the data is turned into insights that are digestible and actionable. Read more.