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AnalysisGovernance, catalog & semantic layerdbt
dbt Labs Blog · Read source ↗

As AI systems scale, issues with data trust and governance become more apparent. The article discusses the initial failures in these areas and suggests solutions to address them.

MyDataWork POV — The real story here involves the growing pains of trust and governance that accompany scaling AI. As AI systems expand, the integrity of data pipelines becomes a critical pressure point. It's not the technology that's faltering; it's the oversight. Organizations must prioritize governance frameworks that can adapt as swiftly as their AI deployments. Without this, the promise of AI will be overshadowed by the very cracks it was meant to seal.
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