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IBM i2 Analyze

Machine learning tools are algorithmic applications of artificial intelligence that give systems the ability to learn and improve without ample human input; similar concepts are data mining and predictive modeling. They allow software to become more accurate in predicting outcomes without being explicitly programmed. The idea is that a model or algorithm is used to get data from the world, and that data is fed back into the model so that it improves over time. It’s called machine learning because the model “learns” as it is fed more and more data.

Machine Learning

IBM is a global technology and innovation company headquartered in Armonk, NY.  It is one of the largest technology and consulting employers in the world, with approximately 427,000 employees serving clients in 170 countries. IBM offers a wide range of technology and consulting services; a broad portfolio of middleware for collaboration, predictive analytics, software development and systems management; and advanced servers and supercomputers. Utilizing its business consulting, technology and R&amp;D expertise, IBM says it helps clients become "smarter" as the planet becomes more digitally interconnected. This includes working with organizations and governments to build systems that improve traffic congestion, availability of clean water, and the health and safety of populations. IBM invests more than $6 billion a year in R&amp;D, just completing its 18th year of patent leadership. IBM Research has received recognition beyond any commercial technology research organization and is home to 5 Nobel Laureates, 9 US National Medals of Technology, 5 US National Medals of Science, 6 Turing Awards, and 10 Inductees in US Inventors Hall of Fame. The company was behind the inventions of the PC; SABRE travel reservation system; UPC codes, Watson, the Jeopardy!-playing computing system, and much more.

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IBM i2 Analyze

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What is IBM i2 Analyze?