Gartner Blog Network


4 (Four!) New Open-source Machine Learning frameworks from IBM, MSFT, Google and Intel.

by Alexander Linden  |  November 30, 2015  |  Submit a Comment

Pretty much every week, we saw one IT giant after another coming up with “open-source” frameworks for ML / Advanced Analytics.

All this happened within a few weeks … this can’t be a coincidence.. But i dont think it is “me too”-philosophy either. My personal take is, that it is the new cool thing to do…  but first and foremost, there is the expectation in the air that from the ca 10 million software engineers world-wide, about 1 million are well-positioned to become strong (engineering-type) citizen data scientists. So this enables the vendors to get more reach. Oracle, SAP, HP and some others maybe seen as increasingly legacy and outdated by the many “innovators”. The real innovation however is med- to long-term more around algorithm marketplaces – which I will blog about in the near future.

Until much more is known (early adopters are very rare and comimg up with mixed feedback) this will create more confusion in an already fragmented marketspace.  How much this “open source” exactly means remains also to be seen. Some are likely more closed for external contributions than others.

Also we expect further impact of this – but so far we at Gartner have more questions than answers: What does this mean to start-ups like Dataiku, Dato, H2O, Skytree in the long-run? Will there now be start-ups trying to come up with a unifying layer for those 4 above frameworks to serve as a top-level UI for the different open-source approaches?

@Alex42Linden

Additional Resources

Predicts 2019: Data and Analytics Strategy

Data and analytics are the key accelerants of digitalization, transformation and “ContinuousNext” efforts. As a result, data and analytics leaders will be counted upon to affect corporate strategy and value, change management, business ethics, and execution performance.

Read Free Gartner Research

Category: advanced-analytics  data-and-analytics-strategies  data-science  

Alexander Linden
Research Director
2 years at Gartner
29 years IT Industry

Alexander Linden is a Research Director, specializing in advanced analytics, data science, machine learning, predictive and prescriptive capabilities, and big data analytic uses in multiple industries. He also has profound expertise in other areas, such as crowdsourcing/microwork, semantic technologies, innovation management and go-to-market strategies. Read Full Bio




Leave a Reply

Your email address will not be published. Required fields are marked *

Comments or opinions expressed on this blog are those of the individual contributors only, and do not necessarily represent the views of Gartner, Inc. or its management. Readers may copy and redistribute blog postings on other blogs, or otherwise for private, non-commercial or journalistic purposes, with attribution to Gartner. This content may not be used for any other purposes in any other formats or media. The content on this blog is provided on an "as-is" basis. Gartner shall not be liable for any damages whatsoever arising out of the content or use of this blog.