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Fri 20 Nov2:00–2:20pmSide Programmes

Catching Evolving Credit Risk Before Your Models Fall Behind - Powered by PFCT

Technology Rewiring

About This Session

Delinquency patterns shift faster than models can be retrained, and labeled examples of emerging risks are scarce. This session shows how a Tabular Foundation Model purpose-built for lending detected approximately 33% more early-delinquency cases than a quarterly-retrained ML model, without retraining. The speakers will explain how the model, relevant historical examples and an AI agent work together to support lending decisions, share lessons from development, and demonstrate the practical workflow.

When
Friday 20 November2:00–2:20pm, Singapore time
Where
Side ProgrammesAI & Quantum Technology Showcase (Hall 6)
Access
Open Open sessionWith a Delegate, Executive, Startup, Policy, Academic, MeetUp or Trade Visitor Pass. The Trade Visitor Pass is complimentary.Compare all passes

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