ISO/IEC TR 20547-5:2018 describes big data relevant standards, both in existence and under development, along with priorities for future big data standards development based on gap analysis.
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
