Financial AI
Abstract
This workshop explored the application of AI and machine learning (ML) techniques within financial organizations, with a special focus on sequential data analysis. Participants have learnt how to harness AI tools for processing complex datasets such as bank transactions and multivariate time series. Emphasis was placed on identifying patterns, enhancing predictive capabilities, and automating decision-making processes to drive innovation in finance.
Chair
Speakers and titles
Ivan Kireev
Sber AI Lab
Multimodal banking data and event sequences
Alexey Zaytsev
Skoltech
Universal representations for event sequences data: financial transactional data and beyond
Alina Kostromina
Sber AI Lab
Zero-shot Time Series Forecasting in Financial Data Analysis: Prospects and Challenges
Elizaveta Kovtun
Sber, Skoltech
Stock market meets external events: can we predict the reaction?
