ISO/IEC 8183:2023
Information technology — Artificial intelligence — Data life cycle framework
This document defines the stages and identifies associated actions for data processing throughout the artificial intelligence (AI) system life cycle, including acquisition, creation, development, deployment, maintenance and decommissioning. This document does not define specific services, platforms or tools. This document is applicable to all organizations, regardless of type, size or nature, that use data in the development and use of AI systems.
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Foreword
Introduction
1 Scope
2 Normative references
3 Terms and definitions
4 Symbols and abbreviated terms
5 Data life cycle overview
6 Data life cycle framework
6.1 General
6.2 Stage 1: Idea conception
6.3 Stage 2: Business requirements
6.4 Stage 3: Data planning
6.5 Stage 4: Data acquisition
6.6 Stage 5: Data preparation
6.7 Stage 6: Building a model
6.8 Stage 7: System deployment
6.9 Stage 8: System operation
6.10 Stage 9: Data decommissioning
6.11 Stage 10: System decommissioning
7 Stages and processes within the data life cycle
Bibliography
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Foreword
Introduction
1 Scope
2 Normative references
3 Terms and definitions
4 Symbols and abbreviated terms
5 Data life cycle overview
6 Data life cycle framework
6.1 General
6.2 Stage 1: Idea conception
6.3 Stage 2: Business requirements
6.4 Stage 3: Data planning
6.5 Stage 4: Data acquisition
6.6 Stage 5: Data preparation
6.7 Stage 6: Building a model
6.8 Stage 7: System deployment
6.9 Stage 8: System operation
6.10 Stage 9: Data decommissioning
6.11 Stage 10: System decommissioning
7 Stages and processes within the data life cycle
Bibliography