We would like to welcome you to the «5th European COST Conference on Artificial Intelligence in Finance and Industry», hosted by the Institute of Applied Mathematics and Physics (IAMP) and the Institute of Data Analysis and Process Design (IDP) at the School of Engineering, and the Institute of Wealth & Asset Management (IWA) at the School of Management and Law of the Zurich University of Applied Sciences (ZHAW) in Winterthur, Switzerland.
- Conference webpage
- Introduction and Keynote-Talk (1pm CEST)
- Four parallel sessions (2pm CEST):
- Closing session (5pm CEST)
We are delighted to have 25 very distinguished speakers from academia and industry who will give talks in four sessions:
- AI in Industry
- AI in Finance
- Regulatory technology in Finance
- Ethical Questions in Finance
The topics are wide-ranging from “Machine-Learning for Data Generation and Hedging in Finance”, “Shared Computation between the Brain and the Body”, “Is DeReg the answer to DeFi” to “Implementing CDR Strategies – Ways of managing privacy risks from a law and ethical perspective”. Those are just the first talks in each session. You will find all topics and the precise schedule in the attached booklet.
You are welcome to switch between the different sessions.
Aim of the conference
The aim of this conference is to bring together European academics, young researchers, students and industrial practitioners to discuss the application of Artificial Intelligence in Industry and Finance.
- Artificial Intelligence in Finance: Artificial Intelligence and Fintech challenges for the European banking and insurance industry
- Artificial Intelligence in Industry: Artificial Intelligence challenges for European companies from the mechanical and electrical industry, but also life sciences.
- Regulatory Technology in Finance: This session is devoted to the use of modern technology for the automation of regulatory reporting in finance.
- Ethical Questions in Artificial Intelligence: Issues arising in AI applications such as trust, explainability, neutrality, responsibility, moral consequences of algorithmic decisions.