IBM announced that 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.

“IBM is focused on AI (artificial intelligence) 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 addresses the AI (artificial) services that software engineering leaders need to enable powerful, next-generation applications.

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Gartner said IBM is recognized as a leader based on the completeness of vision and ability to execute. IBM continues to enhance its portfolio of language, vision, and AutoAI products, which includes IBM Watson Assistant, IBM Watson Discovery, IBM Watson Natural Language Understanding, IBM Watson Studio, IBM 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 the 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.

According to IBM, organizations have been leveraging IBM Watson and IBM Maximo to infuse intelligence into their workflows.

To give businesses, data scientists, and developers the capabilities they need to scale AI, IBM said it 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.