Predictive models can lose the plot: here's how to keep them on track : algorithmic inertia can result in guidance that leads business astray

One of the players in the 2008 financial crisis was a phenomenon the authors call algorithmic inertia: when organizations use algorithmic models that are meant to account for a dynamic environment but fail to keep pace with critical changes. In this article, the authors explain algorithmic inertia,...

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Bibliographische Detailangaben
Beteiligte Personen: Glaser, Vern L. (VerfasserIn), Omidvar, Omid (VerfasserIn), Safavi, Mehdi (VerfasserIn)
Format: Elektronisch E-Book
Sprache:Englisch
Veröffentlicht: [Place of publication not identified] MIT Sloan Management Review 2023
Ausgabe:[First edition].
Schlagwörter:
Links:https://learning.oreilly.com/library/view/-/53863MIT64415/?ar
Zusammenfassung:One of the players in the 2008 financial crisis was a phenomenon the authors call algorithmic inertia: when organizations use algorithmic models that are meant to account for a dynamic environment but fail to keep pace with critical changes. In this article, the authors explain algorithmic inertia, identify its sources, and suggest practices that organizations can implement to overcome it.
Beschreibung:"Summer 2023 issue, vol. 64, no. 4. Reprint #64415.". - Includes bibliographical references
Umfang:1 Online-Ressource (8 Seiten) illustrations