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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.

Visionary: H2O.ai

The winner of the gold medal for vision on Gartner’s Magic Quadrant is H2O.ai, which ranks among the middle of the pack for execution. The Mountain View, Calif.-based company’s road map and innovation earned it the highest overall score for completeness of vision from Gartner with H2O.ai being a thought leader in automation and augmentation of DSML. The H2O Driverless AI is its commercial product with additional modules such as MLOps and AutoDoc. H2O.ai offers open-source products with optional enterprise support, such as the H2O 3 platform and AutoML for ML, Sparkling Water for Spark integration and Wave for application development.

Strengths: H2O Driverless AI eases the adoption of DSML by offering augmentation in multiple areas such as augmented feature engineering, model selection and parameter tuning. Gartner said the company stands out for its sophisticated automation of time-series modeling.

Weaknesses: Gartner said H2O.ai has room for improvement around data access and aspects of data preparation, including data refresh, data lineage, access governance, metadata management and data catalogs.

 
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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