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Information technology — Artificial intelligence (AI) — Use cases

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Last updated: 31 Jan 2023

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ISO/IEC 23894 – A new standard for risk management of AI

ISO/IEC 23894 offers strategic guidance to organizations across all sectors for managing risks connected to the development and use of…

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Last updated: 20 Nov 2024

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Information technology — Artificial intelligence (AI) — Use cases

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Last updated: 31 Jan 2023

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Information technology — Artificial intelligence — Reference architecture of knowledge engineering

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Last updated: 31 Jan 2023

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Information Technology — Artificial Intelligence — Guidelines for AI applications

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Last updated: 31 Jan 2023

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Artificial intelligence — Data quality for analytics and machine learning (ML) — Part 5: Data quality governance

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Last updated: 31 Jan 2023

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Artificial intelligence — Data quality for analytics and machine learning (ML) — Part 4: Data quality process framework

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Last updated: 31 Jan 2023

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Artificial intelligence — Data quality for analytics and machine learning (ML) — Part 3: Data quality management requirements and guidelines

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Last updated: 31 Jan 2023

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Artificial intelligence — Data quality for analytics and machine learning (ML) — Part 2: Data quality measures

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Last updated: 31 Jan 2023

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Artificial intelligence — Data quality for analytics and machine learning (ML) — Part 1: Overview, terminology, and examples

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Last updated: 31 Jan 2023

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Information technology — Artificial intelligence (AI) — Use cases

ISO/IEC 23894 – A new standard for risk management of AI

Information technology — Artificial intelligence (AI) — Use cases

Information technology — Artificial intelligence — Reference architecture of knowledge engineering

Information Technology — Artificial Intelligence — Guidelines for AI applications

Artificial intelligence — Data quality for analytics and machine learning (ML) — Part 5: Data quality governance

Artificial intelligence — Data quality for analytics and machine learning (ML) — Part 4: Data quality process framework

Artificial intelligence — Data quality for analytics and machine learning (ML) — Part 3: Data quality management requirements and guidelines

Artificial intelligence — Data quality for analytics and machine learning (ML) — Part 2: Data quality measures

Artificial intelligence — Data quality for analytics and machine learning (ML) — Part 1: Overview, terminology, and examples

Information technology – Big data reference architecture – Part 3: Reference architecture

Information and documentation – Codes for written language conversion systems

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