data_science_platform

Data Science Platform

Gartner Group Leaders

Gartner Group Challengers

Gartner Group Visionaries

  • IBM - https://www.ibm.com - IBM is based in Armonk, New York. “IBM provides many analytic solutions,” according to Gartner analysts. “For this Magic Quadrant, we evaluated SPSS, including both SPSS Modeler and SPSS Statistics. Data Science Experience (DSX), a second data science and machine-learning offering, did not meet our criteria for evaluation on the Ability to Execute axis, but does contribute to IBM's Completeness of Vision. IBM is now a Visionary, having lost ground in terms of both Completeness of Vision and Ability to Execute, relative to other vendors.

Gartner Group Niche players

  • SAP - https://sap.com - SAP is based in Walldorf, Germany. “SAP has yet again rebranded its platform: SAP Business Objects Predictive Analytics is now simply SAP Predictive Analytics (PA),” Gartner writes. “This platform has a number of components, such as Data Manager for dataset preparation and feature engineering, Automated Modeler for citizen data scientists, Predictive Composer for more sophisticated machine learning, and Predictive Factory for operationalization. SAP Leonardo Machine Learning and other components of the SAP Leonardo ecosystem did not contribute to SAP's Ability to Execute position in this Magic Quadrant. Over the past year, SAP has made good progress in several respects, but still lags behind in others. It is a Niche Player due to low customer satisfaction scores, a lack of mind share, a fragmented toolchain, and significant technological weak spots (in relation to the cloud, deep learning, Python and notebooks, for example), relative to others.

External sites

data_science_platform.txt · Last modified: 2024/04/28 03:17 by 127.0.0.1

Donate Powered by PHP Valid HTML5 Valid CSS Driven by DokuWiki