Accurate data is not enough. AI agents still make the wrong business decisions without shared context—ontologies, knowledge graphs, and process rules that give data consistent meaning across systems (VentureBeat/SAP).
https://t.co/XPebmu1Fhw
#DataQuality#Metadata#AI
Data Quality: Iron Mountain research shows 86% of organizations delayed or scrambled AI projects in the past year due to data concerns / “data debt.” Only 39% have digitized & structured data ready for AI scale.
https://t.co/7MoSUseoNe
#DataQuality#AI#DataDebt
New Collibra/Harris survey finds 72% of AI decision-makers say failed AI initiatives stem from a poor data foundation. Orgs are now shifting AI reporting closer to data teams & tightening accountability for agent outputs.
https://t.co/apM8d6Wt7C
#DataQuality#AI#DataGovernance