Data i godzina: wtorek, 24 marca 2026, godz.11:00
Prelegent: Zhazira Shaikhyieva, Al-Farabi Kazakh National University
Tytuł: Hyper-Personalization in FinTech with Large Language Models
Streszczenie: The increasing digitalization of financial services has intensified the need for advanced personalization techniques capable of capturing complex customer behavior and contextual information. Traditional approaches, primarily based on rule-based systems and classical machine learning models, often lack flexibility and scalability in dynamic environments. This research investigates the use of Large Language Models (LLMs) to enable hyper-personalization in FinTech applications. The proposed approach integrates LLMs with heterogeneous customer data sources through a retrieval-augmented generation (RAG) framework, allowing for context-aware and dynamically generated recommendations. The study presents the architecture of an LLM-driven personalization system, including data preprocessing, embedding generation, vector storage, and model adaptation techniques. Particular attention is given to challenges related to data privacy, computational efficiency, and deployment within real-world banking infrastructures.
Miejsce: B1-7/8 oraz online