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Regular version of the site

24-25 october

Moscow, HSE University

Call for postersRegistration

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

Alexey Zaytsev

Skoltech

Representation-first change point detection for financial AI
Aleksei Shestov

Sber AI Lab

LLM4ES: Learning User Embeddings from Event Sequences via Large Language Models
Ivan Karpukhin

Sber AI Lab

Effective embeddings for GPT without constrative learning: utilizing history tokens
Dzhantemir Kikov

Sber AI Lab

A Multi-Step System for Structured Retrieval and Analysis with LLMs: Building the Deep Research Multi-Agent Framework

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