IBM named as a Leader in the Gartner 2021 Magic Quadrant for Cloud AI Developer Services and Data Science and Machine Learning Platforms

Global research firm Gartner has positioned IBM as a Leader in two newly published Gartner Magic Quadrant reports: the 2021 Magic Quadrant for Cloud AI Developer Services and the 2021 Magic Quadrant for Data Science and Machine Learning Platforms.

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Global research firm Gartner has positioned IBM as a Leader in two newly published Gartner Magic Quadrant reports: the 2021 Magic Quadrant for Cloud AI Developer Services (1) and the 2021 Magic Quadrant for Data Science and Machine Learning Platforms (2).  

"IBM is focused on AI for business and helping customers reclaim precious time through automation, generate critical insights through natural language processing, and foster trust in outcomes derived from AI," said Daniel Hernandez, General Manager, Data and AI, IBM. "We believe these new recognitions from Gartner underscore the value we're bringing to businesses through our strategy and our strong innovation pipeline between IBM Research and IBM Watson." 

The 2021 Gartner Magic Quadrant for Cloud AI Developer Services says, "This Magic Quadrant addresses the AI services that software engineering leaders need to enable powerful, next-generation applications". IBM is recognized as a Leader based on completeness of vision and ability to execute. IBM continues to enhance its portfolio of language, vision and AutoAI products, which includes IBM Watson AssistantIBM Watson DiscoveryIBM Watson Natural Language UnderstandingIBM Watson StudioIBM Maximo Visual Inspection and more, to give developers the easy-to-use tools they need to build AI solutions rapidly.  

According to the 2021 Gartner Magic Quadrant for Data Science and Machine Learning Platforms, "This report assesses 20 vendors of platforms that data scientists and others can use to source data, build models and operationalize machine learning." IBM is recognized for completeness of vision and ability to execute. IBM designed IBM Watson Studio on IBM Cloud Pak for Data to provide end-to-end AI lifecycle management for both experts and citizen data scientists and developers, and it provides strong support for explainability, fairness and governance to help businesses build AI models that they can trust.  

To give businesses and government, data scientists and developers the capabilities they need to scale AI, IBM is continually bringing new innovations to IBM Watson from IBM Research in the core areas of natural language processing (NLP), trust and automation. In 2020, IBM unveiled advanced NLP capabilities from IBM Research Project Debater in IBM Watson, expanded its AI-powered automation capabilities with the launch of IBM Watson AIOps and announced AI Factsheets, a new methodology for embedding trust and transparency into the development of AI models coming to Watson Studio in Cloud Pak for Data in 2021.  

To view complimentary copies of the Magic Quadrant reports, please visit:  

1 Source: Gartner, "Magic Quadrant for Cloud AI Developer Services," Van Baker, Bern Elliot, Svetlana Sicular, Anthony Mullen, Erick Brethenoux, [February 24, 2021] 
2 Source: Gartner, "Magic Quadrant for Data Science and Machine Learning Platforms," Peter Krensky, Carlie Idoine, Erick Brethenoux, Pieter den Hamer, Farhan Choudhary, Afraz Jaffri, Shubhangi Vashisth, [March 1, 2021] 

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