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Here's Who Made Gartner's 2018 Magic Quadrant For Data Science And Machine Learning

These 16 software vendors offer products that allow development and deployment of the data science workloads that deliver insight from massive streams of data.

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Machine Learning, The New Frontier In Data Science

The ability to draw insight from massive streams of data is becoming a competitive differentiator for enterprises. Gartner evaluated software vendors offering products that allow development and deployment of the data science workloads that deliver that insight.

The companies in this Magic Quadrant bring to market "a cohesive software application that offers a mixture of basic building blocks essential both for creating many kinds of data science solutions and incorporating such solutions into business processes, surrounding infrastructure and products."

Machine learning is a subset of the technology, but one that warrants specific attention. Machine learning's momentum and its significant contribution to the broader discipline of data science is why the term, for the first time this year, has been added to the title of this Magic Quadrant.

The 16 platforms evaluated by Gartner support data scientists doing work across the analytics pipeline. Those projects have many components, including data access and ingestion, data preparation, interactive exploration and visualization, feature engineering, advanced modeling, testing, training, deployment and performance engineering.

 
 
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