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
panelist: Thani Sokka, DailyDigital
panelist: Stuart Kozola, MathWorks, Inc.
panelist: Jason S. Cornez, RavenPack
published: Nov. 22, 2017, recorded: November 2017, views: 655
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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.
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