Nicole Königstein: "Beyond Chatbots: Financial Innovation and Data Analysis with Agentic LLMs" скачать в хорошем качестве

Nicole Königstein: "Beyond Chatbots: Financial Innovation and Data Analysis with Agentic LLMs"

Abstract: This session explores the transformative potential of Large Language Models (LLMs) in finance, moving beyond basic chatbot applications. Innovative architectures, including multi-agent systems, LangGraph frameworks, and advanced reasoning techniques like Language Agent Tree Search (LATS), will be covered to demonstrate how LLMs unify reasoning, acting, and planning to enhance decision-making in financial domains. Practical use cases, such as sentiment analysis, technical analysis, and investment report generation, will illustrate the application of supervisor-agent architectures tailored for complex asset evaluations. Attendees will leave with actionable insights to implement cutting-edge LLM technologies for data-driven financial strategies. Speaker Bio: Nicole is the Chief AI Officer and Head of Quantitative Research at quantmate, where she leads projects in artificial intelligence and quantitative modeling. In addition to her leadership roles, she serves as an AI consultant, helping companies develop and deploy AI solutions. As a guest lecturer, Nicole shares her expertise in Python, machine learning, and deep learning at universities. She is a frequent speaker at AI and Quantitative Finance events, and also the author of Math for Machine Learning and Transformers in Action with Manning Publications. Her forthcoming book, Transformers: The Definitive Guide, will be published by O’Reilly Media.