DATA AND AI IMPACT REPORT (Record no. 8615)
[ view plain ]
| 000 -LEADER | |
|---|---|
| fixed length control field | 02795nam a22003617a 4500 |
| 001 - CONTROL NUMBER | |
| control field | 00008615 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | ES-MaONT |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20251106120746.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 251106s2025 -uscd|||st||| 00| 0 eng d |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | ES-MaONT |
| 110 ## - MAIN ENTRY--CORPORATE NAME | |
| Corporate name or jurisdiction name as entry element | SAS Institute |
| 9 (RLIN) | 9826 |
| 245 10 - TITLE STATEMENT | |
| Title | DATA AND AI IMPACT REPORT |
| Remainder of title | : The Trust Imperative |
| Statement of responsibility, etc. | / SAS ; Insights provided by IDC |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Place of publication, distribution, etc. | [Cary, Carolina del Norte] |
| Name of publisher, distributor, etc. | : IDC |
| Date of publication, distribution, etc. | ,2025 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 29 páginas |
| Other physical details | ; 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 |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | El informe, elaborado por SAS e IDC, analiza cómo la confianza se ha convertido en el factor decisivo para que la inteligencia artificial (IA) y los datos generen valor real. Basado en una encuesta global a 2.375 líderes empresariales y tecnológicos, el estudio introduce dos indicadores clave: el Índice de Confianza en la IA y el Índice de Impacto, que miden la madurez ética y el retorno de las inversiones en IA. A nivel mundial, solo el 40% de las organizaciones demuestra tener sistemas realmente confiables, mientras que el 78% afirma confiar plenamente en la IA, lo que evidencia una fuerte brecha entre percepción y práctica.<br/><br/>Los resultados muestran que la confianza genera retorno: las empresas con marcos sólidos de gobernanza, explicabilidad y ética logran un retorno sobre la inversión significativamente mayor. En cambio, aquellas con “confianza ciega” o baja madurez enfrentan el “dilema de la confianza”: sobreconfianza en sistemas no probados o desaprovechamiento de IA fiable. Los principales obstáculos son la falta de infraestructura de datos optimizada, gobernanza insuficiente y escasez de talento especializado, especialmente en los sectores de banca, seguros, salud y administraciones públicas.<br/><br/>El informe concluye que la adopción masiva de IA generativa, agéntica y cuántica solo será sostenible si se apoya en bases de datos seguras, marcos regulatorios coherentes y talento formado en IA responsable. Recomienda invertir en gobernanza, transparencia y habilidades técnicas para reducir riesgos y transformar la confianza en una ventaja competitiva y social.<br/> |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| 9 (RLIN) | 8544 |
| Topical term or geographic name entry element | IA generativa |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| 9 (RLIN) | 9822 |
| Topical term or geographic name entry element | Agentes autónomos |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| 9 (RLIN) | 9545 |
| Topical term or geographic name entry element | Confianza |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| 9 (RLIN) | 8546 |
| Topical term or geographic name entry element | Gobernanza |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| 9 (RLIN) | 8682 |
| Topical term or geographic name entry element | Transparencia |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| 9 (RLIN) | 8525 |
| Topical term or geographic name entry element | Datos |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| 9 (RLIN) | 8899 |
| Topical term or geographic name entry element | Ética |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| 9 (RLIN) | 9503 |
| Topical term or geographic name entry element | ROI |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Quantum AI |
| 9 (RLIN) | 9827 |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| 9 (RLIN) | 9728 |
| Topical term or geographic name entry element | Madurez digital |
| 710 2# - ADDED ENTRY--CORPORATE NAME | |
| 9 (RLIN) | 1268 |
| Corporate name or jurisdiction name as entry element | International Data Corporation |
| Relator term | colaborador |
| 856 4# - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | https://cdn.plainconcepts.com/wp-content/uploads/2022/03/Informe-Inteligencia-Artificial-2022.pdf |
| Nonpublic note | Abierto |
| Link text | Acceso al documento |
| Electronic format type | |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | Universal Decimal Classification |
| Koha item type | Informes |
| Withdrawn status | Lost status | Damaged status | Not for loan | Collection code | Koha itemnumber | Home library | Current library | Shelving location | Date acquired | Total Checkouts | Barcode | Date last seen | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Acceso libre online | Colección digital | 9546 | CDO | CDO | 06/11/2025 | 1000020178763 | 06/11/2025 | 06/11/2025 | Informes |