RESEARCH SUMMARY
A summary of a research project with preliminary findings
Working Paper: Research Summary
Explanation: A New Enterprise Data Monetization Capability for AI
AI’s opaqueness, malleability, iffiness, and unproven nature require that companies build an enterprise data monetization capability termed “explanation.”
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.
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About the Authors
Barbara H. Wixom, Principal Research Scientist, MIT Sloan Center for Information Systems Research (CISR)
Ida A. Someh, Lecturer in Business Information Systems, UQ Business School at The University of Queensland, Australia
Angela Zutavern, Managing Director, AlixPartners
MIT CENTER FOR INFORMATION SYSTEMS RESEARCH (CISR)
Founded in 1974 and grounded in the MIT tradition of rigorous field-based research, MIT CISR helps executives meet the challenge of leading dynamic, global, and information-intensive organizations. Through research, teaching, and events, the center stimulates interaction among scholars, students, and practitioners. More than seventy-five firms sponsor our work and participate in our consortium.
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