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DCMM 2.0

2 articles · Page 1 of 1
Data Bricklaying Diary
Data Bricklaying Diary
Jul 11, 2026 · Industry Insights

Why AI-Era Data Governance Requires Ontology-Driven High-Quality Datasets

This article traces data governance evolution from master data consistency and metadata visibility to ontology-driven business semantic modeling, arguing that AI-era governance must produce high-quality datasets that are AI-usable, trustworthy, evaluable, and continuously optimized through explicit business object, process, rule, and evidence modeling.

AI data supplyDCMM 2.0Data Governance
0 likes · 14 min read
Why AI-Era Data Governance Requires Ontology-Driven High-Quality Datasets
Data Bricklaying Diary
Data Bricklaying Diary
Jul 10, 2026 · Big Data

High-Quality Datasets: The New Data Governance Battlefield After DCMM 2.0

The article argues that post-DCMM 2.0, data governance must evolve from asset management to building high-quality datasets—trustworthy, semantically clear, quality-measurable, version-traceable, and compliant—to reliably support AI training, evaluation, knowledge augmentation, and agent workflows, requiring semantic foundations and AI data engineering.

AI data engineeringDCMM 2.0Data Governance
0 likes · 12 min read
High-Quality Datasets: The New Data Governance Battlefield After DCMM 2.0