• Content Type

P2975

Standard for Industrial Artificial Intelligence (AI) Data Attributes

Last updated: 18 Jul 2024

Development Stage

Pre-draft

Draft

Published

25 Mar 2021
pre-draft

Scope

This standard defines attributes related to industrial Artificial Intelligence (AI) data that facilitates the classification, association, and mapping towards value creation using data. The attributes include but are not limited to data source, type, ownership, sampling frequency, traceability, privacy attributes for modeling, sampling, shareability and its use in AI algorithms. ©IEEE 2022. All rights reserved.

Purpose

This standard facilitates industrial AI data rationalization towards value creation to establish a common understanding of the AI relevant data among all stakeholders to accelerate AI solution and product development and deployment. This standard will provide a generic data framework to address common data elements shared across various industrial AI verticals. ©IEEE 2022. All rights reserved.

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Categorisation

Domain: Horizontal

Key Information

Organisation: IEEE

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