How AI can enable a Sustainable Future

Autor(es):
Microsoft | PricewaterhouseCoopers‏
Editor: [Washington] : Microsoft, [2019]Descripción: 51 p. : il. ; 1 documento PDFTipo de contenido: texto (visual)
Tipo de medio: electrónico
Tipo de soporte: recurso en línea
Tema(s): Tecnologías habilitadoras digitales | IA | environmental impacts | climate change | environmental applications | economy | greenhouse gasRecursos en línea: Acceso al documento

Más información
Artificial Intelligence can be harnessed in a wide range of economic sectors and situations to contribute to managing environmental impacts and climate change.Some examples of application include: AI-infused clean distributed energy grids, precision agriculture, sustainable supply chains, environmental monitoring and enforcement, and enhanced weather and disaster prediction and response. Research by PwC UK, commissioned by Microsoft, models the economic impact of AI’s application to manage the environment, across four sectors – agriculture, water, energy and transport. It estimates that using AI for environmental applications could contribute up to $5.2 trillion USD to the global economy in 2030, a 4.4% increase relative to business as usual. In parallel the application of AI levers could reduce worldwide greenhouse gas (GHG) emissions by 4% in 2030, an amount equivalent to 2.4 Gt CO2e – equivalent to the 2030 annual emissions of Australia, Canada and Japan combined. At the same time as productivity improvements, AI could create 38.2 million net new jobs across the global economy offering more skilled occupations as part of this transition.
    Valoración media: 0.0 (0 votos)
Tipo de ítem Ubicación actual Signatura Estado Notas Fecha de vencimiento Código de barras
Informes Informes CDO

El Centro de Documentación del Observatorio Nacional de las Telecomunicaciones y de la Sociedad de la Información (CDO) os da la bienvenida al catálogo bibliográfico sobre recursos digitales en las materias de Tecnologías de la Información y telecomunicaciones, Servicios públicos digitales, Administración Electrónica y Economía digital. 

 

 

Acceso libre online pdf 1000020175834

Artificial Intelligence can be harnessed in a wide range of economic sectors and situations to contribute to managing environmental impacts and climate change.Some examples of application include: AI-infused clean distributed energy grids, precision agriculture, sustainable supply chains, environmental monitoring and enforcement, and enhanced weather and disaster prediction and response. Research by PwC UK, commissioned by Microsoft, models the economic impact of AI’s application to manage the environment, across four sectors – agriculture, water, energy and transport. It estimates that using AI for environmental applications could contribute up to $5.2 trillion USD to the global economy in 2030, a 4.4% increase relative to business as usual.
In parallel the application of AI levers could reduce worldwide greenhouse gas (GHG) emissions by 4% in 2030, an amount equivalent to 2.4 Gt CO2e – equivalent to the 2030 annual emissions of Australia, Canada and Japan combined.
At the same time as productivity improvements, AI could create 38.2 million net new jobs across the global economy offering more skilled occupations as part of this transition.

No hay comentarios en este titulo.

para colocar un comentario.

Haga clic en una imagen para verla en el visor de imágenes

Copyright© ONTSI. Todos los derechos reservados.
x
Esta web está utilizando la política de Cookies de la entidad pública empresarial Red.es, M.P. se detalla en el siguiente enlace: aviso-cookies. Acepto