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Top 20 Data Science And Machine Learning Platforms: Gartner

Mark Haranas

From AWS, Google and Microsoft to IBM, SAS and MathWorks, here are the 20 data science and machine learning platforms leading the global market today.

Niche Player: Samsung SDS

Samsung SDS ranks among the bottom of the pack for both vision and execution on Gartner’s Magic Quadrant. The South Korea-based company’s Brightics AI is an end-to-end analytics and data science platform, offering Brightics Standard and Enterprise editions and an open-source tool dubbed Brightics Studio. Brightics AI is an easy-to-use platform for experts and citizen data scientists. With its focus on data management, it enables other roles like data engineers and industrial users to work with it.

Strengths: Samsung SDS helps customers achieve better value through its focus on the data life cycle. Data access, preparation and visualization are strengths of the Brightics AI platform, while it also offers support for semi-structured and unstructured data.

Weaknesses: Brightics AI is behind competing offerings in areas like composite AI and decision intelligence. Gartner said the vast majority of its clients are in Asia, which may limit support to customers overseas.

 
Mark Haranas

Mark Haranas is an assistant news editor and longtime journalist now covering cloud, multicloud, software, SaaS and channel partners at CRN. He speaks with world-renown CEOs and IT experts as well as covering breaking news and live events while also managing several CRN reporters. He can be reached at mharanas@thechannelcompany.com.

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