Enterprise Cognitive Computing Applications: Opportunities and Challenges
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MIT_CISRwp420_CognitiveComputingApplications-IEEE_TarafdarBeathRoss.pdf
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809.22 KB
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Author(s)
Tarafdar, Monideepa
Beath, Cynthia M.
Ross, Jeanne W.
Date Issued
August 1, 2017
Publisher
Cambridge, Mass.: Center for Information Systems Research, Sloan School of Management, Massachusetts Institute of Technology
Citation
Tarafdar, Monideepa, Cynthia M. Beath, and Jeanne W. Ross. “Enterprise Cognitive Computing Applications: Opportunities and Challenges.” Working paper 420, Center for Information Systems Research, Sloan School of Management, Massachusetts Institute of Technology, 2017. https://dspace.mit.edu/handle/1721.1/175375.
Series/Report no.
MIT Sloan School of Management Working Paper 6749-17
CISR Working Paper 420
Abstract
Enterprise cognitive computing applications are generating a great deal of excitement for organizations. However their business impact is yet to emerge on a large scale. An important reason for this is a lack of understanding of how such applications can contribute to a company s business objectives, and of the challenges associated with implementing them. In this article we provide an overview of cognitive computing applications for the enterprise. In particular we provide a classification of opportunities for developing enterprise cognitive computing applications and describe challenges in implementing them. Our findings are based on a study of fifty-one initiatives of enterprise cognitive computing applications across a broad range of industries in North America, Europe and Asia-Pacific. Given the lack of systematic description regarding what is possible from enterprise cognitive computing, we believe this article will be valuable to researchers and practitioners in unpacking the black box of cognitive computing. This paper, © 2017 IEEE, was originally published in the July/August 2017 edition of IT Professional, a journal by the IEEE Computer Society. The content is reprinted with permission from IEEE.
Subjects
Information Technologies
Cognitive Computing
Data Management, Analytics, and Use
Digitizing Business Processes
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