Data collection Archives - Page 3 of 15

This Recommendation describes specifications of a data centre infrastructure management (DCIM) system based on big data and artificial intelligence (AI)…

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Last Updated: 2 Feb 2024

ISO/TS 8000-82:2022 PD ISO/TS 8000-82:2022

Data quality – Data quality assessment: Creating data rules

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Horizontal AI-enabling - Data AI-enabling - Quality management Data collection

Data management Data processing Data quality Interoperability Project management Measurement and test methods Process, management and governance Product and performance requirements

This document describes how data rules apply to various types of data. Such rules exist to sustain the integrity and…

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Last Updated: 2 Feb 2024

ISO/IEC 19944-1:2020 BS ISO/IEC 19944-1:2020

Cloud computing and distributed platforms. Data flow, data categories and data use. Fundamentals

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Horizontal AI-enabling - Cloud computing AI-enabling - Data Data collection

Data processing Data protection Data sharing Interoperability Privacy System architecture Foundational and terminology Interface and architecture

What is ISO/IEC 19944‑1 about? ISO/IEC 19944‑1 is the first part of the multi-series standard that extends the existing cloud…

Published

Last Updated: 2 Feb 2024

ITU-T L Supplement 52

Computer processing, data management and energy perspective

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Energy AI-enabling - Data AI-enabling - Information management Data collection

Data management Data processing Data sharing Interoperability Sustainability System architecture System lifecycle Process, management and governance

Published

Last Updated: 2 Feb 2024

BS 10102-2:2020

Big data. Guidance on data-intensive projects

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Healthcare and medicine Horizontal AI-enabling - Data AI-enabling - Project management

Data collection Data management Data processing Data protection Documentation Organisational governance Privacy Project management Process, management and governance

This part of BS 10102 provides guidance on good practice for implementing data-intensive projects to realize value, including: a) defining…

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Last Updated: 2 Feb 2024

ITU-T Y.3531

Cloud computing – Functional requirements for machine learning as a service

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Horizontal AI-specific Data collection Data management

Data processing Interoperability Security and resilience System architecture Process, management and governance Product and performance requirements

This Recommendation provides system context, functional requirements and use cases for machine learning as a service (MLaaS). In particular, the…

Published

Last Updated: 2 Feb 2024

ITU-T Y.3654

Big data driven networking – Machine learning mechanism

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Telecom and network-based services AI-specific Data collection Data processing

Data sharing Interoperability Security and resillience System architecture Measurement and test methods Process, management and governance

Recommendation ITU-T Y.3654 specifies the mechanisms of machine learning in big data driven networking (bDDN). A set of related aspects…

Published

Last Updated: 2 Feb 2024

ITU-T Y.3602

Big data – Functional requirements for data provenance

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Horizontal AI-enabling - Data AI-enabling - Information management Data collection

Data management Data processing Data quality Data sharing Explainability and transparency Process, management and governance Product and performance requirements

Recommendation ITU‑T Y.3602 describes a model and operations for big data provenance. This Recommendation also provides the functional requirements for…

Published

Last Updated: 2 Feb 2024

BS 10102-1:2020

Big data. Guidance on data-driven organizations

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Horizontal AI-enabling - Corporate governance AI-enabling - Data AI-enabling - Information management

Data collection Data management Data processing Data protection Data sharing Organisational governance Privacy Project management Process, management and governance

This part of BS 10102 gives guidance on realizing value from data, including big data, such as gaining insights, informing…

Published

Last Updated: 2 Feb 2024

Content Type

Data quality. Data quality management: Assessment indicators for data processing in manufacturing operations

Data quality – Data quality assessment: Creating data rules

Big data. Guidance on data-intensive projects

Cloud computing – Functional requirements for machine learning as a service

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