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Article
Transformers vs Fraud - Why Smart Banks Pick Precision Over Hype
At CeFPro’s 2025 AMR USA event, an AI expert explained how transformer models can revolutionize anti-money laundering while falling short in real-time fraud detection. The session emphasized balancing innovation with practicality, showing that true progress in financial crime prevention comes from applying technology where it fits best, not where it dazzles most.
Nov 19, 2025
Chandrakant Maheshwari, First Vice President - Model Validation Lead, Flagstar Bank
Tags:
Financial Crime
The views and opinions expressed in this content are those of the thought leader as an individual and are not attributed to CeFPro or any other organization
Transformers offer new potential in financial crime detection when applied correctly
Real-time fraud detection demands faster, leaner neural networks over heavy transformer models
AML investigations benefit from transformers’ ability to detect complex, long-term behavioral patterns
Presenter demonstrated transformer mechanics through a manual Excel-built model
Emphasis on balancing innovation with operational and regulatory realities
Success in financial crime prevention depends on precision, explainability, and practical application
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