Explanation: A New Enterprise Data Monetization Capability for AI
Name
MIT_CISRwp443_SucceedingArtificialIntelligence_WixomSomehZutavernBeath.pdf
Size
1.07 MB
Format
Adobe PDF
Checksum (MD5)
e6176f136f6af893199b99f6f52d8f35
Author(s)
Wixom, Barbara H.
Someh, Ida A.
Zutavern, Angela
Beath, Cynthia M.
Date Issued
July 1, 2020
Publisher
Cambridge, Mass.: Center for Information Systems Research, Sloan School of Management, Massachusetts Institute of Technology
Citation
Wixom, Barbara H., Ida A. Someh, Angela Zutavern, and Cynthia M. Beath. “Explanation: A New Enterprise Data Monetization Capability for AI.” Working paper 443, Center for Information Systems Research, Sloan School of Management, Massachusetts Institute of Technology, 2020. https://dspace.mit.edu/handle/1721.1/175421.
Series/Report no.
MIT Sloan School of Management Working Paper 6773-20
CISR Working Paper 443
Abstract
Artificial intelligence (AI) offers huge potential benefits for companies around the world. Companies that learn how to develop and deploy AI effectively will be positioned to maximize value creation in the emerging algorithmic economy, where algorithms will enable key business activities. Uptake of AI has been limited, however, and there are mounting associated concerns. This report explores what companies need to better understand about AI so they can make the most of this transformational phenomenon. The report describes distinct AI characteristics and their implications for enterprise data monetization capabilities, including a new requisite capability termed explanation .
Subjects
Data monetization
Information Technologies
Data, AI, and Analytics
Terms of Use
© Authors. All Rights Reserved. No additional permission needed for educational uses.
Persistent DSpace Link
