What managers should ask about AI models and data sets

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 su...

Full description

Bibliographic Details
Main Authors: Hoerl, Roger W., Redman, Thomas C. (Author)
Format: eBook
Language:English
Published: [Cambridge, Massachusetts] MIT Sloan Management Review 2023
Edition:[First edition]
Subjects:
Online Access:
Collection: O'Reilly - Collection details see MPG.ReNa
Description
Summary: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
Item Description:Reprint #65303
Physical Description:7 pages illustrations