How AI can enable a Sustainable Future (Registro nro. 5558)

000 -LEADER
fixed length control field 02380nam a22003377c 4500
001 - CONTROL NUMBER
control field 00005558
003 - CONTROL NUMBER IDENTIFIER
control field ES-MaONT
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20231116104400.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 190823s2019 xxu d||fs|||| 00| 0 eng d
040 ## - CATALOGING SOURCE
Original cataloging agency ES-MaONT
245 00 - TITLE STATEMENT
Title How AI can enable a Sustainable Future
Statement of responsibility, etc. / Microsoft in association with PwC
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. [Washington] :
Name of publisher, distributor, etc. Microsoft,
Date of publication, distribution, etc. [2019]
300 ## - PHYSICAL DESCRIPTION
Extent 51 p.
Other physical details : il.
Dimensions ; 1 documento PDF
336 ## - CONTENT TYPE
Content type term texto (visual)
Source isbdcontent
337 ## - MEDIA TYPE
Media type term electrónico
Source isbdmedia
338 ## - CARRIER TYPE
Carrier type term recurso en línea
Source rdacarrier
530 ## - ADDITIONAL PHYSICAL FORM AVAILABLE NOTE
Additional physical form available note 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. <br/>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.<br/>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.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Tecnologías habilitadoras digitales
9 (RLIN) 18
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term IA
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term environmental impacts
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term climate change
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term environmental applications
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term economy
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term greenhouse gas
710 ## - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element Microsoft
9 (RLIN) 2380
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element PricewaterhouseCoopers‏
9 (RLIN) 2421
856 4# - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://www.pwc.co.uk/sustainability-climate-change/assets/pdf/how-ai-can-enable-a-sustainable-future.pdf
Nonpublic note Abierto
Link text Acceso al documento
Electronic format type pdf
856 4# - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://www.pwc.co.uk/services/sustainability-climate-change/insights/how-ai-future-can-enable-sustainable-future.html
Nonpublic note Abierto
Link text Más información
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Informes
Source of classification or shelving scheme
Existencias
Withdrawn status Lost status Damaged status Not for loan Home library Current library Shelving location Date acquired Total Checkouts Barcode Date last seen Price effective from Koha item type Public note
      Acceso libre online CDO CDO   14/12/2019   1000020175834 14/12/2019 14/12/2019 Informes pdf
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