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HyperSense Named in 2022 Gartner Market Guide for Multipersona Data Science and Machine Learning Platforms

Subex listed as a Representative Vendor in the report

Subex, a pioneer in the space of Digital Trust, has been named in 2022 Gartner Market Guide for Multipersona Data Science and Machine Learning Platforms (DSML). Through HyperSense, Subex has been listed as a Representative Vendor in the report.

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According to this Market Guide for Multipersona Data Science and Machine Learning Platforms, “Data science and machine learning are evolving rapidly with key trends such as augmentation and democratization. To support the needs of an increasingly diverse group of technical and nontechnical roles, data and analytics leaders should apply multipersona DSML platforms.

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“We believe that it is encouraging to be acknowledged by Gartner in this Market Guide for Multipersona Data Science and Machine Learning Platforms. HyperSense AI was conceptualized with an objective to democratize the use of Artificial Intelligence within the enterprise, starting with the telecom ecosystem. It helps enterprises leverage AI across their data value chain through a combination of no-code AI, AutoML and MLOps,” said Rohit Maheshwari, Head of Strategy and Products at Subex.

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This report recognition comes on the heels of Subex being named as a representative vendor in 2022 Gartner Market Guide on AI in CSP Customer and Business Operations, through HyperSense.

Source: Gartner, Market Guide for Multipersona Data Science and Machine Learning Platforms, Pieter den HamerCarlie Idoine, Erick Brethenoux, Peter KrenskyAfraz JaffriShubhangi VashisthFarhan ChoudharySumit AgarwalAlexander Linden, 2nd May 2022 Gartner, “Market Guide for AI in CSP Customer and Business Operations”, Pulkit PandeyAmresh Nandan25 April 2022

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Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, respect to this research, including any warranties of merchantability or fitness for a particular purpose.

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