CSA ISO/IEC 5259-4:25

Current Revision

Artificial intelligence — Data quality for analytics and machine learning (ML) — Part 4: Data quality process framework (Adopted ISO/IEC 5259-4:2024, first edition, 2024-07)

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CSA ISO/IEC 5259-4:25

Name: CSA ISO/IEC 5259-4:25 – Artificial intelligence — Data quality for analytics and machine learning (ML) — Part 4: Data quality process framework (Adopted ISO/IEC 5259-4:2024, first edition, 2024-07)
Brand: Canadian Standards Association
SKU: CSA ISO/IEC 5259-4:25
Price: 200.00 USD
Availability: InStock

Artificial intelligence — Data quality for analytics and machine learning (ML) — Part 4: Data quality process framework (Adopted ISO/IEC 5259-4:2024, first edition, 2024-07)

PUBLISH DATE 2025

PAGES 46

Artificial intelligence — Data quality for analytics and machine learning (ML) — Part 4: Data quality process framework (Adopted ISO/IEC 5259-4:2024, first edition, 2024-07)

Scope

This document establishes general common organizational approaches, regardless of the type, size or nature of the applying organization, to ensure data quality for training and evaluation in analytics and machine learning (ML). It includes guidance on the data quality process for: — supervised ML with regard to the labelling of data used for training ML systems, including common organizational approaches for training data labelling; — unsupervised ML; — semi-supervised ML; — reinforcement learning; — analytics. This document is applicable to training and evaluation data that come from different sources, including data acquisition and data composition, data preparation, data labelling, evaluation and data use. This document does not define specific services, platforms or tools.