GE’s Environment, Health, and Safety Team Creates Value Using Machine Learning
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MIT_CISRwp448_GEMachineLearning_WixomSomehBeath.pdf
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468.91 KB
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Author(s)
Wixom, Barbara H.
Someh, Ida A.
Beath, Cynthia M.
Date Issued
November 10, 2020
Publisher
Cambridge, Mass.: Center for Information Systems Research, Sloan School of Management, Massachusetts Institute of Technology
Citation
Wixom, Barbara H., Ida A. Someh, and Cynthia M. Beath. “GE’s Environment, Health, and Safety Team Creates Value Using Machine Learning.” Working paper 448, Center for Information Systems Research, Sloan School of Management, Massachusetts Institute of Technology, 2020. https://dspace.mit.edu/handle/1721.1/175423.
Series/Report no.
MIT Sloan School of Management Working Paper 6778-20
CISR Working Paper 448
Abstract
In 2020, General Electric Company (GE) was a $95 billion high-tech industrial company that employed approximately 205,000 people and served customers in over 170 countries. GE s Corporate Environment, Health, and Safety (EHS) team delivered company-wide governance and oversight in that area. In 2016, the unit identified a potential for high-risk contractor operations that company leaders wanted to address proactively. This vignette describes the development of an AI-enabled document assessment application that served GE EHS professionals as a bolt-on application for use during the contractor onboarding process. Delivering the tool began to free up EHS professionals to focus more of their expertise on field execution and higher-value EHS work.
Subjects
Data monetization
Information Technologies
Data, AI, and Analytics
Terms of Use
© Authors. All Rights Reserved. No additional permission needed for educational uses.
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