Improve key performance indicators with AI
(eBook)

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Contributors
Published
[Cambridge, Massachusetts] : MIT Sloan Management Review, 2023.
Format
eBook
Edition
[First edition].
Physical Desc
1 online resource (9 pages) : illustrations
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Language
English
UPC
53863MIT65108

Notes

General Note
"Reprint 65108."
Bibliography
Includes bibliographical references.
Description
In this second article in a series of four, the researchers behind the 2023 MIT Sloan Management Review-BCG Artificial Intelligence and Business Strategy Big Ideas research project offer a framework - improve-create-establish, or ICE - for enhancing strategic measurement with artificial intelligence. Examples from companies such as Wayfair and DBS Bank help illustrate the potential benefits of using AI to improve KPIs.

Citations

APA Citation, 7th Edition (style guide)

Schrage, M., Kiron, D., Candelon, F., Khodabandeh, S., & Chu, M. (2023). Improve key performance indicators with AI ([First edition].). MIT Sloan Management Review.

Chicago / Turabian - Author Date Citation, 17th Edition (style guide)

Michael, Schrage et al.. 2023. Improve Key Performance Indicators With AI. MIT Sloan Management Review.

Chicago / Turabian - Humanities (Notes and Bibliography) Citation, 17th Edition (style guide)

Michael, Schrage et al.. Improve Key Performance Indicators With AI MIT Sloan Management Review, 2023.

MLA Citation, 9th Edition (style guide)

Schrage, Michael,, et al. Improve Key Performance Indicators With AI [First edition]., MIT Sloan Management Review, 2023.

Note! Citations contain only title, author, edition, publisher, and year published. Citations should be used as a guideline and should be double checked for accuracy. Citation formats are based on standards as of August 2021.

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Grouped Work ID
aeef3166-2e1f-4adc-c037-8361ca245998-eng
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Grouped Work IDaeef3166-2e1f-4adc-c037-8361ca245998-eng
Full titleimprove key performance indicators with ai
Authorschrage michael
Grouping Categorybook
Last Update2024-10-04 13:10:14PM
Last Indexed2024-10-05 06:02:58AM

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MARC Record

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