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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: Altair

Altair ranks in last place for both vision and execution on Gartner’s Magic Quadrant. The Troy, Mich.-based company offers a suite of products called Altair Knowledge Works, although the core product Gartner evaluated is the Altair Knowledge Studio. The Knowledge Works suite includes Knowledge Studio for Apache Spark, Knowledge Hub, Panopticon and Monarch. Knowledge Studio’s capabilities for automated ML, explainable AI and enhanced open-source integration have strengthened, but it’s still behind other vendors in terms of native capabilities for delivery, deployment and model management.

Strengths: Altair Knowledge Studio offers strong capabilities for augmented data preparation. Integration with advanced data preparation tools enables semi-structured data to be easily extracted and included in ML modeling.

Weaknesses: Altair needs to strengthen its decision modeling and composite artificial intelligence capabilities, Gartner said. Although Altair focuses on both service- and asset-centric industries, its product marketing needs improvement to resonate with a wider set of customer needs.

 

 
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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