Erman Akca, Marco Müller
adesso Schweiz AG
Erman Akca is a Data Scientist with 7+ years of professional experience in analyzing client data in the financial services industry with passion to deliver valuable insights, enable data-driven decision making and solve challenging business problems using advanced analytical methods. He has particularly strong experiences in Python and SQL programming, statistical analysis, machine learning (supervised and unsupervised) and data visualization.
Originally starting as a software developer, Marco Müller has worked as a member of the Innovation team of a leading financial services provider since 2015. He has been involved in building up the usage of Artificial Intelligence and delivering it to the customer. His passion is combining the various wishes from different stakeholders from business and IT without losing the focus on quality and agility.
AI & Customer Churn - New ways to prevent customer attrition
Customer churn is when customers left your company or stopped using your company's product or service during a certain time frame. Knowing this it is obvious that one of a companies key goals should be to prevent Customer Churn.
In this talk, we will first discuss the classification of customer churn and the consequences of a high customer churn rate. After the basics, we will look at the classical approaches of prevention, before we focus on possible solutions with AI. A classification of the discussed topics ends the presentation.