Sector Roadmap: machine learning and predictive analytics

Table of Contents

  1. Summary
  2. Introduction
  3. Disruption vectors
  4. Company analysis
  5. Additional analysis
  6. Key takeaways and outlook
  7. About Mark Tabladillo

1. Summary

A nexus of increased data, improved algorithms, increasingly cheaper storage, and cloud-hosted options has fueled a surge in new data mining and machine learning products from both new and well-established vendors. The field encompassing these tools is known as data science, and it attracts not only aspiring data scientists, but also business analysts, data analysts, statisticians, and researchers.

Companies will find themselves tempted to try new service and application options as they develop and refine their own approach to advanced analytics. Vendors are providing new functionality, wrapping data science within industry solutions, and developing community support to multiply its effect.

Key findings from this Sector RoadmapTM include:

  • All the technologies in this report are serious contenders in this sector and are worthy of individual investigation.
  • Technologies with deeper community groundswell will provide more paths to explore their usefulness, whether through user conferences, third-party consulting partners, or industry presentations.
  • The most valuable implementation support comes from companies that can coach on how to apply data science to real-world challenges.
  • Most products in the machine learning and predictive analytics sector have made advances in visual interfaces. Gone are the days of working mostly, or exclusively, at the command line.
  • Collaboration and automation are emerging feature sets in this sector, with only two vendors (Alpine Data Labs and Predixion) strong in the former and one vendor (BeyondCore) in the latter. These companies are pioneers, and the others will need to follow suit.

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Key:

  • Number indicates companies relative strength across all vectors
  • Size of ball indicates company’s relative strength along individual vector

Source: Gigaom Research

 

 

 

 

Thumbnail image courtesy of: Hemera/Thinkstock.

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