SO/IEC TR 20547-2:2018 provides examples of big data use cases with application domains and technical considerations derived from the contributed use cases.
This document describes the framework of the big data reference architecture and the process for how a user of the document can apply it to their particular problem domain.
Assessment of AI systems: Metrics for the performance capability of AI
Software quality: Quality assessment for AI-based systems (see also 4.1.1 and 4.3.1.4)
Procedure for data collection, structuring of data for learn-ing AI image recognition, process structure of learning experiments and quality assurance
AI-specific requirements with regard to robustness, espe-cially regarding adversarial robustness and corruption robustness
This HL7 Version 3 (V3) standard describes the processes whereby HL7 V3 artifact specifications may be refined, constrained and extended to support implementation designs, conformance profiles, and realm-specific standards.
