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IBM Watson Page

Artificial Intelligence
Whether you call it a supercomputer, a cognitive computing system, or simply a question answering matching system, artificial intelligence technologies are quickly revolutionizing every aspect of modern lives. Artificial intelligence makes it possible for machines to learn from experience, adjust to new inputs and perform human-like tasks. AI has already proved it can beat humans at chess, poker, jeopardy and many experts believe that AI can exceed human intelligence and capabilities on tasks such as complex decision-making, reasoning and learning.
IBM Watson
IBM Watson runs on IBM Power servers that are not really supercomputers in the classic sense, but that act that way when they are clustered together in groups of tens and even hundreds of servers, with a price point for an internal system that only a large enterprise or a research institute can afford. The good news for small and midsize companies is that they can use Watson, too; IBM offers a cloud-based version of Watson that companies can pay for by subscription or on demand.

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.

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