RavenPack at the J.P. Morgan Annual Global Machine Learning Conference

When

17 October 2024.
4:10 p.m. CEST

Where

14 Place Vendôme, Paris

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Join us at the J.P. Morgan Annual Global Machine Learning Conference, hosted in Paris this October. This premier event convenes industry leaders, investors, and innovators to explore the transformative power of Generative AI across sectors.

LLMs are reshaping the financial industry by streamlining workflows and enhancing decision-making capabilities. In this session, Peter will explain how LLMs, especially through Retrieval-Augmented Generation (RAG), enable intuitive natural language interaction with complex datasets. He will illustrate how LLMs transform unstructured text into structured, actionable insights through automated content labeling and verification.

Peter will also showcase Bigdata.com’s hybrid retrieval system powered by LLMs, designed to automate the generation of daily and monthly financial reports. Additionally, he will provide insights into RavenPack’s innovative "chain-of-thought" workflows, which help improve clients' investment strategies.

Peter Hafez

Chief Data Scientist

RavenPack presents:

Peter Hafez is RavenPack’s Chief Data Scientist and a member of the Executive team, with over 20 years of experience in quantitative finance. Since 2008, he has led groundbreaking work in applied news analytics and collaborated with prominent institutions such as Standard & Poor's and Credit Suisse.

In 2024, Peter played a key role in launching Bigdata.com, an AI-driven real-time assistant that redefines how professionals access and use information. He now leads efforts to create specialized AI agents, continually expanding Bigdata.com's capabilities. A recognized speaker on alternative data and AI, Peter has presented at prestigious conferences and universities, including the London Business School, NYU’s Courant Institute of Mathematical Sciences, and Imperial College London.

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