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Transformational Power of Recommendation

As the technologies behind recommendation engines become more powerful, the advice and choices they produce could transform the customer and employee experience. Companies are already using recommenders to drive revenue, augment work, and develop human capital. But if the technology is to reach its...

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Detalles Bibliográficos
Autor principal: Schrage, Michael
Formato: Electrónico eBook
Idioma:Indeterminado
Publicado: [S.l.] : MIT Sloan Management Review, 2020.
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Descripción
Sumario:As the technologies behind recommendation engines become more powerful, the advice and choices they produce could transform the customer and employee experience. Companies are already using recommenders to drive revenue, augment work, and develop human capital. But if the technology is to reach its full potential, companies will need to address sensitive issues around trust and privacy.
Notas:Title from content provider.
Descripción Física:1 online resource