Standard for Industrial Artificial Intelligence (AI) Data Attributes
Last updated: 18 Jul 2024
Development Stage
Pre-draft
Draft
Published
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.