Infrastructure, public policy and the challenge of big data / Walter Sosa Escudero. [recurso electrónico]
Tipo de material: TextoSeries Technical note ; 1847Detalles de publicación: Washington, D. C. : Inter-American Development Bank, 2020Descripción: 1 recurso en línea (16 p.)Tema(s): Recursos en línea: Resumen: This article discusses the possibilities of using big data and machine learning strategies to improve the provision of public services along many dimensions, inc luding better access or quality and cost reduction. Several examples are presente d for the cas e of water, electricity and tran sportation . The note also highlights the challenges faced by the infrastructure sector and, in general, by the public sector in relation to the possibilities and limitations of big data.Tipo de ítem | Biblioteca actual | Signatura | Estado | Fecha de vencimiento | Código de barras |
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Libro electrónico | Biblioteca Manuel Belgrano | Recurso en línea (Navegar estantería(Abre debajo)) | Disponible |
Bibliografía: p. 15-16.
This article discusses the possibilities of using big data and machine learning strategies to improve the provision of public services along many dimensions, inc luding better access or quality and cost reduction. Several examples are presente d for the cas e of water, electricity and tran sportation . The note also highlights the challenges faced by the infrastructure sector and, in general, by the public sector in relation to the possibilities and limitations of big data.
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