Managing the Two Faces of Generative AI
Name
2024_0901_GenAI_VanderMeulenWixom.pdf
Size
256.8 KB
Format
Adobe PDF
Checksum (MD5)
93e06dbadc2b77c766f492396b2fc388
Author(s)
van der Meulen, Nick
Wixom, Barbara H.
Date Issued
September 19, 2024
Publisher
Cambridge, Mass.: Center for Information Systems Research, Sloan School of Management, Massachusetts Institute of Technology
Citation
Van der Meulen, Nick and Barbara H. Wixom. “Managing the Two Faces of Generative AI.” MIT CISR Research Briefing Volume XXIV, no. 9 (September 2024). https://dspace.mit.edu/handle/1721.1/175014.
Series/Report no.
MIT CISR Research Briefing, Vol. XXIV, No. 9
Abstract
As generative AI (GenAI) becomes more prevalent, organizations are implementing it in two distinct ways: as broadly applicable tools to enhance individual productivity, and as tailored solutions to achieve strategic business objectives. Based on a series of three consecutive virtual roundtable discussions with data and technology executives on the MIT CISR Data Research Advisory Board, this briefing describes both approaches and highlights their unique challenges and management principles for success.
Subjects
Data monetization
Information Technologies
Data, AI, and Analytics
Terms of Use
CC BY-NC 4.0 (Attribution-NonCommercial 4.0 International)
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