Abstract

This document provides the means for understanding and associating the individual documents of the ISO/IEC “Artificial intelligence - Data quality for analytics and ML” series and is the foundation for conceptual understanding of data quality for analytics and machine learning. It also discusses associated technologies and examples (e.g. use cases and usage scenarios

Begin

2024-10-10

WI

JT021040

Planned document number

DIN EN ISO/IEC 5259-1

Project number

04301165

Responsible national committee

NA 043-01-42-03 AK - Data  

Responsible european committee

CEN/CLC/JTC 21/WG 3 - Engineering aspects  

Responsible international committee

ISO/IEC JTC 1/SC 42/WG 2 - Data  

draft standard

Artificial intelligence - Data quality for analytics and machine learning (ML) - Part 1: Overview, terminology, and examples (ISO/IEC 5259-1:2024); German and English version prEN ISO/IEC 5259-1:2025
2025-03
Order from DIN Media