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,...
| Otros Autores: | , , |
|---|---|
| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
[Place of publication not identified] :
MIT Sloan Management Review
2023.
|
| Edición: | [First edition] |
| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009822923206719 |
| 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. |
|---|---|
| Notas: | "Summer 2023 issue, vol. 64, no. 4. Reprint #64415." |
| Descripción Física: | 1 online resource (8 pages) : illustrations |
