Machine Learning SAP

#artificialintelligence 

In the past, you needed specialized talent to put machine learning into action: "Quants" who are educated in the language and methods and "translators" who could bridge the disciplines of data, machine learning, and decision making to reframe complex results into executable insights. Now modern business applications take on the roles of data scientists. They feature user-friendly interfaces and integrated AI technology that let business users reap the rewards of machine learning – without extensive training, and often with the push of a few buttons.

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