Prepare your Organization for the Big Data Revolution

moderator: Adam Honore, CME Group Inc.
panelist: Thani Sokka, DailyDigital
panelist: Stuart Kozola, MathWorks, Inc.
panelist: Jason S. Cornez, RavenPack
published: Nov. 22, 2017,   recorded: November 2017,   views: 655
Categories

Related content

Report a problem or upload files

If you have found a problem with this lecture or would like to send us extra material, articles, exercises, etc., please use our ticket system to describe your request and upload the data.
Enter your e-mail into the 'Cc' field, and we will keep you updated with your request's status.
Lecture popularity: You need to login to cast your vote.
  Delicious Bibliography

Description

A “revolution” is typically defined as a fundamental change in an organizational structure that takes place in a relatively short period of time when people “revolt” against the current order. The rapid explosion and growth in data has incited a huge investment in Artificial Intelligence (AI) tools and techniques to try and make sense of it all. Traditional investors are looking to boost sagging returns and turning to data scientists to deliver the alpha they once produced. Consequently, numerous funds are building out big data teams to identify new nontraditional data sources, clean this data, and create predictive models which are additive to their investment processes.

Link this page

Would you like to put a link to this lecture on your homepage?
Go ahead! Copy the HTML snippet !

Write your own review or comment:

make sure you have javascript enabled or clear this field: