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How R Powers Data Science at Microsoft

In this video “How R Powers Data Science at Microsoft” from the EARL 2017 conference in San Francisco (June 5-7, 2017), insideBIGDATA’s Managing Editor and resident data scientist Daniel D. Gutierrez chats with Vijay K. Narayanan – Director, Algorithms and Data Science Solutions, Microsoft. Discussion topics include: Microsoft’s continued commitment to the R language, recent developments in AI at Microsoft, Vijay’s co-authored article appearing in the Harvard Business Review – “Where Predictive Analytics is having the Biggest Impact,” as well as Microsoft’s future directions.

I lead the the algorithms and the data science solutions team and we basically do three things … we build the code machine learning algorithms, the enterprise class, very highly performant engineered machine learning algorithms that we use ourselves internally in a lot of divisions at Microsoft. The third piece we do is we’re also birthing the whole ecosystem for data and machine learning,” said Vijay K. Narayanan – Director, Algorithms and Data Science Solutions, Microsoft.

The interview will give you a strong sense for Microsoft’s basic vision where every business decision can be optimized and made more intelligent with data and where R is the tool that transforms that data into that intelligence and every application today can be made more intelligent by having a layer of R in in the middle.

“We really see it as our mission to provide the capability where R becomes truly enterprise class,” added Narayanan.

insideBIGDATA recently has featured four compelling podcast interviews with Microsoft data scientists. Check these out in order to learn even more about how the company is excelling in this dynamic field:

Interview: Matt Winkler, Group Program Manager for Machine Learning at Microsoft

Interview: Jennifer Marsman, Principal Software Development Engineer at Microsoft

Interview: Dr. Danielle Dean, Senior Data Scientist Lead at Microsoft

Interview: Anusua Trivedi, Data Scientist on Microsoft’s Advanced Data Science & Strategic Initiatives Team

 

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Comments

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