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| 001 | 00005958 | ||
| 003 | ES-MaONT | ||
| 005 | 20211006062659.0 | ||
| 008 | 200513t2020 lu ||||frt|||i00| 0 eng d | ||
| 020 | _a978-92-9202-922-7 | ||
| 024 |
_2doi _a10.2826/47005 |
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| 040 | _aES-MaONT | ||
| 110 |
_aAgencia Ejecutiva para las Pequeñas y Medianas Empresas. _93676 |
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| 245 | 1 | 0 |
_aArtificial intelligence _cExecutive Agency for Small and Medium-sized Enterprises (European Commission) _b- critical industrial applications : report on current policy measures and policy opportunities: April 2020 |
| 260 |
_aLuxembourg _bPublications Office of th European Union _c2020 |
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| 300 | _a34 p. | ||
| 336 |
_atexto (visual) _2isbdcontent |
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_aelectrónico _2isbdmedia |
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| 338 |
_arecurso en línea _bcr _2rdacarrier |
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| 520 | _aThe 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 |
_94348 _aInteligencia Artificial |
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| 650 | 7 |
_aSanidad digital _2 _92065 |
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| 653 | _aeconomic consequence | ||
| 653 | _aaid to undertakings | ||
| 653 | _aInternet of Things, | ||
| 653 | _arobotics | ||
| 653 | _asmall and medium-sized enterprises | ||
| 653 | _asustainable development | ||
| 653 | _avalue chain | ||
| 653 | _aupdating of skills | ||
| 856 | 4 |
_uhttp://doi.org/10.2826/47005 _x0 _yAcceso a la publicación |
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_cELIB _2z |
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