Global Financial Markets Intelligence (GFMI) has announced the 5th Annual Machine Learning in Quantitative Finance Conference, scheduled from September 20 to 22, 2023, in New York. The conference will be attended by prominent professionals and experts in the financial industry to discuss the latest trends and applications of machine learning. Attendees will benefit from a comprehensive agenda that includes keynote speeches, panel discussions, case studies, and workshops. The conference will highlight the power of machine learning in revolutionizing the field of quantitative finance. The program will focus on several topics such as natural language processing implementations in finance, the limitations of NLP, generative AI, and advancements in explainability and interpretability. The conference will also cover the value of alternative data and its applications in quantitative strategies, 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.
GFMI is a research institute that provides conferences and training courses to professionals in the financial industry. The organization strives to offer innovative approaches and solutions through expert sessions, keeping professionals updated with the latest trends and developments in the financial industry.
Yuyu Fan is a Senior Data Scientist at Alliance Bernstein and a keynote speaker on the opening day of the conference. Fan will showcase successful natural language processing implementations in finance and provide guidance for the right NLP tools and techniques selection. Additionally, Caio Natividade and Ganchi Zhang will also speak on the second day of the conference. Natividade, Managing Director at Deutsche Bank, will discuss alternative data and its applications in quantitative strategies, and Zhang, Director of QIS Research at Deutsche Bank, will emphasize the importance of alternative data in quantitative finance.
