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Top Data Science Trends for 2015

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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.

– Annika Jimenez, Kaushik Das and Hulya Farinas – 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

To watch the on-demand webinar, visit http://www.pivotal.io/agile/top-data-science-trends-for-2015-webinar

Publié dans : Données & analyses
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Top Data Science Trends for 2015

  1. 1. 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. 2. 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
  3. 3. 3© 2014 Pivotal Software, Inc. All rights reserved. Prediction #1 Data Science will move to the cloud(s).
  4. 4. 4© 2014 Pivotal Software, Inc. All rights reserved. Prediction #2 Data Science-Driven Apps Everywhere. (This will put pressure on enterprise data architecture.)
  5. 5. 5© 2014 Pivotal Software, Inc. All rights reserved. Prediction #3 The pressure to make machine learning more accessible will drive further tool evolution… …but danger lurks.
  6. 6. 6© 2014 Pivotal Software, Inc. All rights reserved. Prediction #4 2015 will be the year headlines of Data Science ethical failures emerge
  7. 7. 7© 2014 Pivotal Software, Inc. All rights reserved. Prediction #5 Enterprises will shift from Hadoop-only to Hadoop++, to meet their Data Science goals.
  8. 8. 8© 2014 Pivotal Software, Inc. All rights reserved. Prediction #6 We’ll continue to see advancements in machine learning, but no one algorithm will rule them all.
  9. 9. 9© 2014 Pivotal Software, Inc. All rights reserved. Prediction #7 2015 will be the beginning of the end of VC-driven proliferation of one-algorithm wonders & a renewed focus on DS platforms.
  10. 10. 10© 2014 Pivotal Software, Inc. All rights reserved. Prediction #8 Enterprises will start exploiting under-used video and image data.
  11. 11. 11© 2014 Pivotal Software, Inc. All rights reserved. Prediction #9 2015 will give rise to data arbitration solutions to address the growing number of proprietary data sets.
  12. 12. 12© 2014 Pivotal Software, Inc. All rights reserved. Prediction #10 2015 will see continued non-homogenous pace of progress at the vertical market level
  13. 13. 13© 2014 Pivotal Software, Inc. All rights reserved.
  14. 14. 14© 2014 Pivotal Software, Inc. All rights reserved. 14© 2014 Pivotal Software, Inc. All rights reserved. Questions?
  15. 15. 15© 2014 Pivotal Software, Inc. All rights reserved. 15© 2014 Pivotal Software, Inc. All rights reserved. Thank you. Send us feedback: @annikaalford @kaushiksf @emirfarinas

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