DIN EN ISO/IEC 5259-3:2025-09
Artificial intelligence - Data quality for analytics and machine learning (ML) - Part 3: Data quality management requirements and guidelines (ISO/IEC 5259-3:2024); German version EN ISO/IEC 5259-3:2025
| Fecha edición: |
2025-09-01
En Vigor
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| Idiomas disponibles: | Alemán |
| Resumen: | This document specifies requirements and provides guidance for establishing, implementing, maintaining and continually improving the quality of data used in the areas of analytics and machine learning. This document does not define a detailed process, methods or metrics. Rather it defines the requirements and guidance for a quality management process along with a reference process and methods that can be tailored to meet the requirements in this document. The requirements and recommendations set out in this document are generic and are intended to be applicable to all organizations, regardless of type, size or nature. |
| Keywords: | Algorithms|Analytical|Artificial intelligence|Components|Computer technology|Data acceptance|Data acquisition|Data processing|Data quality|Definitions|Enterprises|Functions|Grids|Information technology|Machine learning|Management|Models|Monitor|Network|Neuronal networks|Organization|Patterns|Quality management|Specification (approval)|Surveillance (approval)|Systems|Tools |
| ICS: | 35.020 - Tecnología de la información (TI) en general |
| CTN: | |
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Equivalencia Internacional |
Idéntica EN ISO/IEC 5259-3:2025 Idéntica ISO/IEC 5259-3:2024 |
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Reemplazo Normas |
Reemplaza a DIN EN ISO/IEC 5259-3:2025-03 |
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