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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.”
RESEARCH SUMMARY

A summary of a research project with preliminary findings

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

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Ida A. Someh, Lecturer in Business Information Systems, UQ Business School at The University of Queensland, Australia

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Angela Zutavern, Managing Director, AlixPartners

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Cynthia M. Beath, Professor Emerita, University of Texas at Austin

MIT CENTER FOR INFORMATION SYSTEMS RESEARCH (CISR)

Founded in 1974 and grounded in MIT's tradition of combining academic knowledge and practical purpose, MIT CISR helps executives meet the challenge of leading increasingly digital and data-driven organizations. We work directly with digital leaders, executives, and boards to develop our insights. Our consortium forms a global community that comprises more than seventy-five organizations.

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