#1
#1 out of 1100.00%
technology3h ago
Enterprises don’t have an AI problem, they have a data problem
- Experts say AI value hinges on data readiness and governance, not just algorithms.
- Catherine Rousseau of AND Digital warns bad data amplifies errors across organizations.
- Governance must be embedded in the engineering lifecycle, not bolted on later.
- Automation tools help classify data and detect anomalies to improve data quality.
- Successful AI hinges on tying governance to real use cases with clear ownership.
- Pilots fail when governance is treated as an afterthought, not a foundation.
- Data ownership and accountability are essential to scalable AI.
- Governance should enable fast, trusted decision-making across teams.
- TechRadar Pro frames data governance as infrastructure for AI success.
- Organizations are urged to treat governance as strategic, not optional.
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