Name: Big Data and Machine Learning in Finance
From: 10 Jun 2021
To: 11 Jun 2021
Address: Politecnico di Milano, Milan, Italy
Key speakers: Tomaso Aste (University College London), , Emanuele Borgonovo - Università Bocconi, , Tucker Balch - JP Morgan AI research, , Juri Marcucci - Bank of Italy, , Georgios Sermpinis - Adam Smith Business School, University of Glasgow,
Web page: https://www.mate.polimi.it/fintech/
Pricing: 200 Euro (industry) - Early bird 150
150 Euro (academic) - Early bird 100
50 Euro (phD student)
The early bird payments are for people registering to the conference before March 30th. However, the payments will be possible only after April 20th - in case of online conference, there will be no fees to be paid.
Description: Big Data and Machine Learning are driving a significant transformation in the financial industry. Amazing examples include: robo-advisory; predicting frauds in payment systems; development of sophisticated algorithmic trading strategies; systemic risk assessment; rating of companies/financial products using a huge amount of information; development of chatbots for customers; nowcasting of financial time series; digital marketing; instant pricing of insurance products.
The transformation concerns the academia and the financial industry. The goal of the conference is to bring together academicians with different backgrounds (economists, finance experts, data scientists, econometricians) and representatives of the financial industry (banks, asset management, insurance companies) working in this field.
Papers on all areas dealing with Machine Learning and Big Data in finance (including Natural Language Processing and Artificial Intelligence techniques) are welcomed. The conference targets papers with different angles (methodological and applications to finance).
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