Abstract
In August 2013, we held a panel discussion at the KDD 2013 conference in Chicago on the subject of data science, data scientists, and start-ups. KDD is the premier conference on data science research and practice. The panel discussed the pros and cons for top-notch data scientists of the hot data science start-up scene. In this article, we first present background on our panelists. Our four panelists have unquestionable pedigrees in data science and substantial experience with start-ups from multiple perspectives (founders, employees, chief scientists, venture capitalists). For the casual reader, we next present a brief summary of the experts' opinions on eight of the issues the panel discussed. The rest of the article presents a lightly edited transcription of the entire panel discussion.
| Original language | English |
|---|---|
| Pages (from-to) | 117-128 |
| Number of pages | 12 |
| Journal | Big Data |
| Volume | 2 |
| Issue number | 3 |
| DOIs | |
| State | Published - Sep 2014 |
Bibliographical note
Publisher Copyright:© Copyright 2014, Mary Ann Liebert, Inc.
ASJC Scopus subject areas
- Information Systems
- Computer Science Applications
- Information Systems and Management
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