Banks are paying for the gaps created by data silos between their various AI vendors, leading to missed fraud and compliance issues. Each vendor claims proprietary data as their competitive advantage, but they operate in isolation, preventing a holistic view of customer intelligence. This fragmentation means banks absorb losses when a combination of signals across different vendor systems would have flagged a risky transaction, a metric rarely measured. AI
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IMPACT Highlights how fragmented AI vendor ecosystems can lead to significant financial losses for financial institutions due to missed signals.
RANK_REASON The article discusses a problem and its implications rather than announcing a new product, research, or event.
