Artificial intelligence (Registro nro. 5958)

000 -LEADER
fixed length control field 02670nam a22003617c 4500
001 - CONTROL NUMBER
control field 00005958
003 - CONTROL NUMBER IDENTIFIER
control field ES-MaONT
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20211006062659.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 200513t2020 lu ||||frt|||i00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 978-92-9202-922-7
024 ## - OTHER STANDARD IDENTIFIER
Source of number or code doi
Standard number or code 10.2826/47005
040 ## - CATALOGING SOURCE
Original cataloging agency ES-MaONT
110 ## - MAIN ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element Agencia Ejecutiva para las Pequeñas y Medianas Empresas.
9 (RLIN) 3676
245 10 - TITLE STATEMENT
Title Artificial intelligence
Statement of responsibility, etc. Executive Agency for Small and Medium-sized Enterprises (European Commission)
Remainder of title - critical industrial applications : report on current policy measures and policy opportunities: April 2020
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Luxembourg
Name of publisher, distributor, etc. Publications Office of th European Union
Date of publication, distribution, etc. 2020
300 ## - PHYSICAL DESCRIPTION
Extent 34 p.
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
Carrier type code cr
Source rdacarrier
520 ## - SUMMARY, ETC.
Summary, etc. The adoption of artificial intelligence (AI) technologies may significantly boost the European economy, but a considerable part of this impact is at risk if SMEs fail to adopt the technology As described in the Report on foresight scenarios, AI could already have a modest positive incremental GDP impact of about 1.8% by 2025 compared to 2017 GDP. This impact could further accelerate to a cumulative incremental impact of about 13.5% by 2030 compared to 2017 GDP, as AI adoption spreads through the economy and early adopters begin to reap benefits. In fact, the positive impact of AI technologies could go far beyond GDP growth: by enabling cleaner, more efficient mobility or more effective healthcare solutions, AI could contribute to sustainable development and overall societal welfare. Given that SMEs are the backbone of the European economy, representing 67% of employment and 57% of value added (EC 2019a), they play a crucial role in capturing this impact potential. However, SMEs also face specific challenges in adopting AI, which are described in detail in the Report on market analysis of prioritised value chains, the most critical AI applications and the conditions for AI rollout. If these challenges are not addressed and a large share of SMEs is thus unable to adopt AI technologies, the economic impact of AI by 2030 could be up to 30% lower.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
9 (RLIN) 4348
Topical term or geographic name entry element Inteligencia Artificial
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Sanidad digital
Source of heading or term
9 (RLIN) 2065
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term economic consequence
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term aid to undertakings
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term Internet of Things,
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term robotics
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term small and medium-sized enterprises
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term sustainable development
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term value chain
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term updating of skills
856 4# - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://doi.org/10.2826/47005
Nonpublic note Abierto
Link text Acceso a la publicación
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Libros electrónicos
Source of classification or shelving scheme
Existencias
Withdrawn status Lost status Materials specified (bound volume or other part) Damaged status Not for loan Collection code Home library Current library Shelving location Date acquired Total Checkouts Barcode Date last seen Price effective from Koha item type Public note
    Informe   Acceso libre online Colección digital CDO CDO   13/05/2020   1000020176161 13/05/2020 13/05/2020 Libros electrónicos .pdf
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