Global Financial Markets Intelligence (GFMI) is pleased to announce the 5th Annual Machine Learning in Quantitative Finance Conference, scheduled to take place in New York from September 20 to September 22, 2023. The conference will bring together leading experts and professionals from the financial industry to explore the latest trends, strategies, and applications of machine learning in quantitative finance.

The conference will feature an extensive agenda filled with keynote speeches, panel discussions, case studies, and workshops, providing attendees with a comprehensive understanding of the power of machine learning in transforming the field of quantitative finance.

Day 1 of the conference, September 20, will commence with registration and breakfast at 8:30 AM, followed by the opening address from the Chair at 9:00 AM. The opening keynote session titled "Harness the Power of NLP to Create a Competitive Business Advantage" will feature Yuyu Fan, Senior Data Scientist at Alliance Bernstein, who will showcase successful natural language processing (NLP) implementations in finance and provide guidance for selecting the right NLP tools and techniques.

Throughout the day, attendees will have the opportunity to participate in panel discussions and case studies focusing on topics such as managing the limitations of NLP, leveraging ChatGPT and generative AI, advancements in explainability and interpretability, and more. Industry experts from renowned organizations including Deutsche Bank, T Rowe Price, Windhaven Investments, State Street Global Advisors, and Principal Asset Management will share their insights and experiences, fostering meaningful discussions on the latest trends and challenges in the field.

Day 2, September 21, will continue the exploration of machine learning applications in quantitative finance. Keynote speeches by Caio Natividade, Managing Director at Deutsche Bank, and Ganchi Zhang, Director of QIS Research at Deutsche Bank, will provide valuable insights into the value of alternative data and its applications in quantitative strategies. Attendees can expect workshops and case studies on topics such as combining traditional quant strategies with machine learning, data-driven venture capital investing, and the future of human quants in an increasingly machine learning-driven landscape.

The final day of the conference, September 22, will offer two engaging workshops focusing on the practical applications of language models and sentiment analysis in quantitative finance, as well as the impact of the macroeconomic environment on machine learning implementation.

GFMI's 5th Annual Machine Learning in Quantitative Finance Conference is a must-attend event for professionals seeking to stay ahead of the curve in the rapidly evolving world of quantitative finance. Attendees will gain valuable insights, network with industry leaders, and discover innovative strategies to leverage machine learning for enhanced decision-making and competitive advantage.

To register for the conference or learn more about the event, please visit the official conference website.