Top Data Science Trends for 2015

December 18, 2014
With 2015 just around the corner, the Pivotal Data Science team has been challenged to point its predictive inclinations toward spotting emerging trends in Data Science. With a global team of 30, doing innovative work in almost every vertical market, Pivotal’s data scientists have a rich view into the underlying trends and shifts impacting their craft. In this webcast, leaders from the team – Annika Jimenez, Kaushik Das and Hulya Farinas – will share their insights on the key Data Science industry trends for the coming year. Every angle of Data Science is fair game: - New use cases at the vertical level - Analytical tool usage trends - Implications of the shift in focus to model operationalization - Meta observations about maturity of the craft - Ethics evolution in Data Science - Venture capital activity View to learn more about Pivotal Data Labs. View Slides:
Data as the New Oil
Data as the New Oil

Oil and gas exploration and production activities generate large amounts of data from sensors, logistics, b...

Made for Each Other Microservices + PaaS
Made for Each Other Microservices + PaaS

Companies need to build better software faster to compete. But existing monolithic applications, legacy pla...


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