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Experiential Networked Intelligence (ENI) – ENI use cases

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Last Updated: 2 Feb 2024

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Experiential Networked Intelligence (ENI) – ENI Definition of Categories for AI Application to Networks

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Last Updated: 2 Feb 2024

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Experiential Networked Intelligence (ENI) – Definition of data processing mechanisms

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Last Updated: 2 Feb 2024

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Development and trustworthiness of autonomous/cognitive systems – Part 61-6: After release of the solution

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Last Updated: 2 Feb 2024

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Development and Trustworthiness of autonomous/cognitive Systems – Part 61-3: Development at Solution Level (whole application)

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Last Updated: 2 Feb 2024

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Development and trustworthiness of autonomous/cognitive systems – Part 61-2: Management

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Development and trustworthiness of autonomous/cognitive systems – Part 61-1: Terms and concepts

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Last Updated: 2 Feb 2024

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Definition of a success method for labelling data for artificial intelligence training – Application focus: Question-Answering; Text in English

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Last Updated: 2 Feb 2024

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Data-driven Project Management – To capture the potential of modeling and AI

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Last Updated: 2 Feb 2024

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Data quality – Part 61: Data quality management: Process reference model

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Last Updated: 2 Feb 2024

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Data quality – Part 60: Data quality management: Overview

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Last Updated: 2 Feb 2024

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Data quality – Data quality management: Organizational process maturity assessment: Application of standards relating to process assessment

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Last Updated: 2 Feb 2024

Content Type

Experiential Networked Intelligence (ENI) – ENI use cases

Experiential Networked Intelligence (ENI) – ENI Definition of Categories for AI Application to Networks

Experiential Networked Intelligence (ENI) – Definition of data processing mechanisms

Development and trustworthiness of autonomous/cognitive systems – Part 61-6: After release of the solution

Development and Trustworthiness of autonomous/cognitive Systems – Part 61-3: Development at Solution Level (whole application)

Development and trustworthiness of autonomous/cognitive systems – Part 61-2: Management

Development and trustworthiness of autonomous/cognitive systems – Part 61-1: Terms and concepts

Definition of a success method for labelling data for artificial intelligence training – Application focus: Question-Answering; Text in English

Data-driven Project Management – To capture the potential of modeling and AI

Data quality – Part 61: Data quality management: Process reference model

Data quality – Part 60: Data quality management: Overview

Data quality – Data quality management: Organizational process maturity assessment: Application of standards relating to process assessment

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