More Data, Fewer False Positives
With Finterai, banks and insurers can harness the power of each other's data to build more accurate predictive models, significantly reducing false positives and detecting new trends and threats with maximum precision.
Data is stuck in silos
Financial institutions have long grappled with the challenge of obtaining high-quality data for building predictive models to improve monitoring systems. Strict regulations such as GDPR, the Norwegian HVL and FFL, coupled with competitive concerns, have heavily restricted data sharing, limiting the effectiveness of these systems.
The silos can stay
Enter federated learning: A groundbreaking technology that offers access to data from all participants without revealing it - or moving it. By overcoming traditional compliance limitations, federated learning empowers financial institutions with unprecedented capabilities for fighting financial crime.
Reducing False Positives
With unparalleled data access, banks and insurers can harness the power of more accurate predictive models, significantly reducing false positives and detecting new trends and threats with unparalleled precision. This transformative approach enhances monitoring quality and fortifies financial institutions against emerging risks.
Envision a future where the financial industry thrives, built on the foundation of federated learning. In this new era, global collaboration paves the way for more robust monitoring systems, increased efficiency, and a safer financial ecosystem – elevating the entire industry to unprecedented heights.