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Why So Many Data Science Projects Fail to Deliver /

Many companies are unable to consistently gain business value from their investments in big data, artificial intelligence, and machine learning. A study of the data science functions and initiatives in three of India's largest private-sector banks identified five obstacles to successful data sc...

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Detalles Bibliográficos
Autores principales: Joshi, Mayur (Autor), Austin, Robert (Autor), Su, Ning (Autor), Sundaram, Anand (Autor)
Autor Corporativo: Safari, an O'Reilly Media Company
Formato: Electrónico eBook
Idioma:Inglés
Publicado: MIT Sloan Management Review, 2021.
Edición:1st edition.
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Descripción
Sumario:Many companies are unable to consistently gain business value from their investments in big data, artificial intelligence, and machine learning. A study of the data science functions and initiatives in three of India's largest private-sector banks identified five obstacles to successful data science projects and suggests remedies that can help companies obtain more benefit from their data science investments.
Descripción Física:1 online resource (7 pages)