Published by:
MIT Sloan School of Management
Length: 7 pages
Topics:
Data, AI, & Machine Learning
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https://casecent.re/p/196170
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Abstract
Today's senior business managers have the power - and the responsibility - to prevent AI project failures. But in order to do so, they need to know how to evaluate the data sets and models being used. This article offers a framework for identifying the right data set for your business problem and suggests six tough questions to ask developers before and during the deployment of artificial intelligence models.
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Abstract
Today's senior business managers have the power - and the responsibility - to prevent AI project failures. But in order to do so, they need to know how to evaluate the data sets and models being used. This article offers a framework for identifying the right data set for your business problem and suggests six tough questions to ask developers before and during the deployment of artificial intelligence models.