A.I.大众汽车金融服务AG的数据驱动移动性
A.I. and Data-Driven Mobility at Volkswagen Financial Services AG
摘要：
由于商业可用硬件的能力和快速推进的研究，机器学习正在工业应用中被广泛采用。大众汽车金融服务（VWFS）作为汽车租赁服务的市场领导者，旨在利用现有的专有数据和最新研究来增强现有的业务流程并衍生新的业务流程。信息系统和机器学习实验室（ISMLL）与VWFS之间的合作有助于实现这一目标。在本文中，我们提出了在推荐系统，目标检测和预测，使数据驱动的车辆生命周期在大众汽车公司的决策领域的方法。
英文摘要：
Machine learning is being widely adapted in industrial applications owing to the capabilities of commercially available hardware and rapidly advancing research. Volkswagen Financial Services (VWFS), as a market leader in vehicle leasing services, aims to leverage existing proprietary data and the latest research to enhance existing and derive new business processes. The collaboration between Information Systems and Machine Learning Lab (ISMLL) and VWFS serves to realize this goal. In this paper, we propose methods in the fields of recommender systems, object detection, and forecasting that enable data-driven decisions for the vehicle life-cycle at VWFS.
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。
