数据科学和FinTech中的AI：概述
Data science and AI in FinTech: An overview
摘要：
金融科技（FinTech）在推动现代经济、社会、技术和许多其他领域方面发挥着越来越重要的作用。智能金融科技是新一代金融科技，主要受到数据科学和新一代人工智能（DSAI）技术的启发和授权。智能金融科技综合了广泛的DSAI，并改变了金融和经济，以推动智能化，自动化，整体业务和个性化的经济和金融业务，服务和系统。金融科技中的数据科学和人工智能研究涉及BankingTech、TradeTech、LendTech、InsurTech、WealthTech、PayTech、RiskTech、cryptocurrencies、blockchain等智能金融科技领域的许多最新进展，以及DSAI技术，包括复杂系统方法、定量方法、智能交互、识别与响应、数据分析、深度学习、联邦学习、隐私保护处理、增强、优化、和系统智能增强。在这里，我们向DSAI社区介绍了智能金融业务及其挑战，智能金融科技生态系统，DSAI技术实现智能金融科技，以及智能金融科技未来的一些研究方向。
英文摘要：
Financial technology (FinTech) has been playing an increasingly critical role in driving modern economies, society, technology, and many other areas. Smart FinTech is the new-generation FinTech, largely inspired and empowered by data science and new-generation AI and (DSAI) techniques. Smart FinTech synthesizes broad DSAI and transforms finance and economies to drive intelligent, automated, whole-of-business and personalized economic and financial businesses, services and systems. The research on data science and AI in FinTech involves many latest progress made in smart FinTech for BankingTech, TradeTech, LendTech, InsurTech, WealthTech, PayTech, RiskTech, cryptocurrencies, and blockchain, and the DSAI techniques including complex system methods, quantitative methods, intelligent interactions, recognition and responses, data analytics, deep learning, federated learning, privacy-preserving processing, augmentation, optimization, and system intelligence enhancement. Here, we present a highly dense research overview of smart financial businesses and their challenges, the smart FinTech ecosystem, the DSAI techniques to enable smart FinTech, and some research directions of smart FinTech futures to the DSAI communities.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
