The pilot trap: Why so many AI projects in banks fail spectacularly
· Source: xpert.digital
In short
The article discusses the challenges banks face in transitioning AI projects from pilot phases to full production, highlighting issues like data fragmentation, lack of industrial discipline, and governance integration. It emphasizes the need for organizational change, shared data architecture, and operational capability to realize AI's economic potential and avoid costly pilot stagnation. The article proposes a phased modernization approach and the creation of an AI factory for scalability and compliance within the complex regulatory environment of banking.
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Tags: banking, AI, scaling, pilot, governance, data