Download - Top Data Science Trends for 2015
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Top Data Science Trends for 2015 Annika Jimenez, Kaushik Das, Hulya Farinas @annikaalford, @kaushiksf, @emirfarinas
December 16, 2014
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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
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Prediction #1
Data Science will move to the cloud(s).
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Prediction #2
Data Science-Driven Apps Everywhere. (This will put pressure on enterprise data architecture.)
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Prediction #3
The pressure to make machine learning more accessible will drive further tool evolution… …but danger lurks.
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Prediction #4
2015 will be the year headlines of Data Science ethical failures emerge
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Prediction #5
Enterprises will shift from Hadoop-only to Hadoop++, to meet their Data Science goals.
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Prediction #6
We’ll continue to see advancements in machine learning, but no one algorithm will rule them all.
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Prediction #7
2015 will be the beginning of the end of VC-driven proliferation of one-algorithm wonders & a renewed focus on DS platforms.
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Prediction #8
Enterprises will start exploiting under-used video and image data.
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Prediction #9
2015 will give rise to data arbitration solutions to address the growing number of proprietary data sets.
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Prediction #10
2015 will see continued non-homogenous pace of progress at the vertical market level
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Questions?
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Thank you. Send us feedback:
@annikaalford @kaushiksf
@emirfarinas
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