Workshop "Financial AI", Sber AI lab
Abstract
Participants of this workshop examine the application of AI and ML in fintech. Speakers demonstrate how to use AI tools including Large Language Models to process complex event-driven data sets, such as banking transactions. Particular attention will be paid to change point detection and development of multi-agent systems.
This workshop explores the application of AI and machine learning (ML) techniques within financial organizations, with a special focus on sequential data analysis. Participants will learn how to harness AI tools for processing complex datasets such as bank transactions and multivariate time series. Emphasis will be placed on identifying patterns, enhancing predictive capabilities, and automating decision-making processes to drive innovation in finance.
Moderator
Andrey Savchenko
Sber AI Lab
Speakers
Skoltech
Sber AI Lab
Sber AI Lab
Sber AI Lab
Slides of talks
Representation-first change point detection for financial AI
LLM4ES: Learning User Embeddings from Event Sequences via Large Language Models
Effective embeddings for GPT without constrative learning: utilizing history tokens