Building Enterprise AI Maturity
Name
2024_1201_EnterpriseAIMaturityModel_WeillWoernerSebastian.pdf
Size
300.08 KB
Format
Adobe PDF
Checksum (MD5)
59c9c99d4e80cd53c87758353fe5bb00
Author(s)
Weill, Peter
Woerner, Stephanie L.
Sebastian, Ina M.
Date Issued
December 19, 2024
Publisher
Cambridge, Mass.: Center for Information Systems Research, Sloan School of Management, Massachusetts Institute of Technology
Citation
Weill, Peter, Stephanie L. Woerner, and Ina M. Sebastian. “Building Enterprise AI Maturity.” MIT CISR Research Briefing Volume XXIV, no. 12 (December 2024). https://dspace.mit.edu/handle/1721.1/174845.
Series/Report no.
MIT CISR Research Briefing, Vol. XXIV, No. 12
Abstract
With so much excitement and hype around AI, we pursued research that would help leaders make sense of the chaos and understand how enterprises create value with AI. This briefing describes the MIT CISR Enterprise AI Maturity model, which depicts four stages of enterprise AI maturity we identified based on a 2022 MIT CISR survey of 721 companies. We found that financial performance improved at each stage, and we pinpointed capabilities an enterprise needs as it progresses through the stages.
Subjects
Assessing Performance and Value
Information Technologies
Data, AI, and Analytics
Terms of Use
CC BY-NC 4.0 (Attribution-NonCommercial 4.0 International)
Persistent DSpace Link
