Gartner Blog Network

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

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

by Alexander Linden  |  November 30, 2015

Pretty much every week, we saw one IT giant after another coming up with “open-source” frameworks for ML / Advanced Analytics. IBM most recently announced SystemML ( – specializing on abstraction and model generation. Microsoft announced just 2 weeks ago: DMLT – Distributed Machine Learning Toolkit — Intel announced just before their TAP (Trusted Analytics Platform) – – […]

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Massive innovations in data science yet to come

by Alexander Linden  |  August 27, 2015

Of course, clients ask us, Gartner’s Advanced Analytics team, about the key trends in Advanced Analytics and Data Science…  Well, here is a somewhat dated overview of advanced analytics trends we had down so far: What new trends are we missing here? Personally, I think it is still early in the realm of advanced analytics. Although organizations are […]

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Open-Sourced Advanced Analytics is increasing…

by Alexander Linden  |  December 19, 2014

Just one week after Gartner’s European Symposium, I attended yet another IT conference in Barcelona, the Strata + Hadoop World, which finally prompted me to post this last blog entry for 2014. What really caught my attention there was the frequency of encounters, where Python and R were mentioned. Now Strata, of course – has some “population bias”, but […]

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Google tries to automate data scientists… ?

by Alexander Linden  |  December 18, 2014

When Google does something, we just have to pay attention these days. These folks brought us so many innovations and now this project, dubbed as automating the data scientists. Is this now another one of those moon-shots?   Why pay those data science folks such high salaries..? let’s automate them..! But let’s face it… much of what data scientists […]

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