top data science trends for 2015

1 © 2014 Pivotal Software, Inc. All rights reserved. 1 © 2014 Pivotal Software, Inc. All rights reserved.

Top Data Science Trends for 2015 Annika Jimenez, Kaushik Das, Hulya Farinas @annikaalford, @kaushiksf, @emirfarinas

December 16, 2014

2 © 2014 Pivotal Software, Inc. All rights reserved.

2015 Predictions – Methodology

•  Pivotal DS global team submissions –  30 person team, in Americas, EMEA & APJ –  Delivering services for predictive / machine learning model building –  Coverage of all vertical markets & many horizontal use cases

•  Lead review, discussion, narrowing •  Additional refinement, bubbling up of key themes


Prediction #1

Data Science will move to the cloud(s).


Prediction #2

Data Science-Driven Apps Everywhere. (This will put pressure on enterprise data architecture.)


Prediction #3

The pressure to make machine learning more accessible will drive further tool evolution… …but danger lurks.


Prediction #4

2015 will be the year headlines of Data Science ethical failures emerge


Prediction #5

Enterprises will shift from Hadoop-only to Hadoop++, to meet their Data Science goals.


Prediction #6

We’ll continue to see advancements in machine learning, but no one algorithm will rule them all.


Prediction #7

2015 will be the beginning of the end of VC-driven proliferation of one-algorithm wonders & a renewed focus on DS platforms.


Prediction #8

Enterprises will start exploiting under-used video and image data.


Prediction #9

2015 will give rise to data arbitration solutions to address the growing number of proprietary data sets.


Prediction #10

2015 will see continued non-homogenous pace of progress at the vertical market level


Questions?


Thank you. Send us feedback:

@annikaalford @kaushiksf

@emirfarinas

top data science trends for 2015

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