Stefan Jansen is the author of the widely read ‘Machine Learning For Algorithmic Trading’. He is the founder and Lead Data Scientist at Applied AI. He advises Fortune 500 companies, investment firms and startups across industries on data & AI strategy and developing machine learning solutions. Before his current venture, he was a partner at Infusive, an international investment firm, where he built the predictive analytics and investment research practice. He also was a senior executive at Rev Worldwide, a global fintech company focused on payments. Earlier, he advised Central Banks in emerging markets, and consulted for the World Bank. In this podcast we discuss what benefits does machine learning bring that other techniques don’t have, t he challenge of using machine learning in finance, u ses for ChatGPT and LLMs, and much more.
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