Over 40% of financial AI initiatives fail not because of model quality but due to poor data foundations. Siloed systems, batch-processing architectures, and spreadsheet-managed data prevent real-time AI operation. A unified data platform must provide millisecond data access, contextual retrieval, cross-silo integration, and built-in governance. Security is also critical — autonomous AI agents can expose millions of records in minutes without proper access controls. Organizations that treat governance as a competitive advantage rather than a compliance burden are the ones successfully scaling AI beyond pilot phases.
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The widening gap in AI readinessWhy traditional data lakes fall shortWant to hear more about building the right data foundation for AI?Securing the perimeter at machine speedNavigating complexity in legacy environmentsGovernance as a sustainable advantageShareSort: