This episode explores how artificial intelligence is reshaping hedge funds and portfolio management through insights from three industry leaders: Jiri Pik (RocketEdge.com), Ernest Chan (PredictNow.ai), and Jared Broad (QuantConnect). They break down how AI, generative models, and large language models are transforming data analysis, risk management, and strategy development in quantitative finance.

The discussion highlights how investment teams can integrate AI by dividing complex workflows into smaller tasks that AI can enhance, from risk scenario modeling to strategy optimization. The speakers also address key challenges such as high computational costs, data quality concerns, and the difficulty of explaining model decisions to stakeholders.

They share how AI is redefining roles within trading teams by increasing efficiency and allowing professionals to focus on strategic thinking rather than repetitive coding and backtesting. The episode also introduces a practical book that provides ready to use AI trading strategies to help professionals learn and apply modern AI techniques.

If you are navigating the rapid rise of AI in finance, this conversation encourages you to build critical judgment, understand AI’s limitations, and experiment actively so you can stay relevant in the evolving landscape of quantitative investing.

Our three guest speakers have recently co-authored a book which teaches you how to master the art of AI-driven algorithmic trading strategies through hands-on examples, in-depth insights, and step-by-step guidance. You can check it out here: Hands-On AI Trading with Python, QuantConnect and AWS