Industry experts argue that the primary challenge for banks adopting AI is not the availability of sophisticated models, but rather the outdated and fragmented infrastructure they rely on. Legacy systems, data silos, and a lack of real-time data prevent effective AI integration, leading to inefficiencies and missed opportunities. True transformation requires rebuilding these foundational 'pipes' to enable dynamic risk assessment and personalized customer experiences, rather than simply layering new models onto existing brittle architectures. AI
IMPACT Banks must prioritize modernizing their core infrastructure to effectively leverage AI for improved risk management and customer engagement.
RANK_REASON The cluster consists of opinion pieces from industry experts discussing the challenges of AI adoption in banking, focusing on infrastructure rather than new model releases.
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