Autonomous financial crime management provider NICE Actimize has introduced its Federated Learning capability designed to provide financial services organizations with higher fraud detection rates.

NICE Actimize is applying a method of Decentralized Artificial Intelligence that includes federated learning of models learned in segregated datasets. The models are built for each organization separately, based on its own data, later to be utilized as features in the required context.

Through its application of Federated Learning, NICE Actimize says it has achieved compelling results in improving value detection rates and eased the process of model governance.