NA 043

DIN Standards Committee Information Technology and IT Applications

Project

Artificial intelligence - Data quality for analytics and machine learning (ML) - Part 1: Overview, terminology, and examples (ISO/IEC 5259-1:2024)

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

2024-09-16

WI

JT021040

Planned document number

prEN ISO/IEC 5259-1

Responsible national committee

NA 043-01-42-03 AK - Data  

Responsible european committee

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

Contact

Eva Zeitz

Am DIN-Platz, Burggrafenstr. 6
10787 Berlin

Tel.: +49 30 2601-2729
Fax: +49 30 2601-42729

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