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IBM Watson AI

IBM Watson AI is a suite of enterprise-ready artificial intelligence services, applications, and tools designed to help organizations leverage machine learning, natural language processing, and data analytics to gain insights, automate processes, and enhance decision-making.

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About IBM Watson AI

IBM Watson AI was created by IBM in 2011. It was developed to compete on the television quiz show Jeopardy!, where it successfully demonstrated its ability to understand and respond to natural language questions. The technology aimed to showcase advancements in artificial intelligence and machine learning, highlighting IBM's capabilities in these fields.

Strengths of IBM Watson AI include robust natural language processing, extensive machine learning capabilities, and strong data analytics tools. Weaknesses include high costs and complexity in implementation. Competitors include Google Cloud AI, Microsoft Azure AI, and Amazon Web Services (AWS) AI.

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How to hire a IBM Watson AI expert

An IBM Watson AI expert must have skills in natural language processing, machine learning, data analytics, and cloud computing. Proficiency in programming languages such as Python and Java, experience with IBM Cloud services, and familiarity with RESTful APIs are also essential.

*Estimations are based on information from Glassdoor, salary.com and live Howdy data.

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USA

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$ 97K
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$ 127K

Employer Cost

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$ 97K

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