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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,...
| Clasificación: | Libro Electrónico |
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| Autores principales: | , , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
[Place of publication not identified] :
MIT Sloan Management Review,
2023.
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| Edición: | [First edition]. |
| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
| Sumario: | 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. |
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| Notas: | "Summer 2023 issue, vol. 64, no. 4. Reprint #64415." |
| Descripción Física: | 1 online resource (8 pages) : illustrations |
| Bibliografía: | Includes bibliographical references. |