We discuss our simulation tool, fintech-kMC, which is designed to generate synthetic data for machine learning model development and testing. fintech-kMC is an agent-based model driven by a kinetic Monte Carlo (a.k.a. continuous time Monte Carlo) engine which simulates the behaviour of customers using an online digital financial platform. The tool provides an interpretable, reproducible, and realistic way of generating synthetic data which can be used to validate and test AI/ML models and pipelines to be used in real-world customer-facing financial applications.

翻译：我们讨论我们的模拟工具Fintech-kMC,该模拟工具旨在为机器学习模型的开发和测试生成合成数据。 Fintech-kMC是一种以代理为基础的模型,由运动式的Monte Carlo(a.k.a.持续时间Monte Carlo)引擎驱动,该引擎利用在线数字金融平台模拟客户的行为。 该工具提供了可解释、可复制和现实的合成数据生成方式,可用于验证和测试用于真实世界客户金融应用的AI/ML模型和管道。