论文标题
人工智能。大众金融服务公司的数据驱动性机动
A.I. and Data-Driven Mobility at Volkswagen Financial Services AG
论文作者
论文摘要
由于商业上可用的硬件和快速前进的研究功能，机器学习正在广泛适应工业应用中。大众金融服务（VWFS）是车辆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，以增强现有的并得出新的业务流程。信息系统与机器学习实验室（ISMLL）和VWFS之间的协作有助于实现这一目标。在本文中，我们在推荐系统，对象检测和预测中提出了在VWFS上为车辆生命周期启用数据驱动决策的方法。
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.
