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 |
|