AI in Asset Management: Lessons from a 30-Year Veteran скачать в хорошем качестве

AI in Asset Management: Lessons from a 30-Year Veteran

Miro Mitev, Founder and CEO of SmartWealth, discusses his three decades of building AI forecasting models, why 90% fail to predict anything, and what keeps him up at night about the future of artificial intelligence. More about GenTwo: https://eu1.hubs.ly/H0rhk8Q0 More on SmartWealth: More on SmartWeatlh: www.smartwealth.ch What does it really take to predict markets with AI? And why do 90% of financial forecasting models produce zero predictive value? In this edition of The Assetizer I'm talking with Miro Mitev, founder and CEO of SmartWealth. Miro has seen it all. He started experimenting with neural networks back in 1997—back when you bought forecasting software for $200 and ran calculations overnight. Today he uses these models to drive real portfolio decisions with real money. In our conversation, we cover a wide range of topics. Among them: what overfitting actually means and why it's so dangerous, how his system spotted the COVID crash two weeks early by reading market structure instead of headlines, and why decades of experience matter more than raw computing power when you're building AI for finance. He also shares what keeps him up at night: humanoid robots, quantum computing, and the question of who controls these increasingly powerful tools. If you want to understand how AI really works in professional asset management—not the hype, but the hard-won reality—this is a conversation you need to hear. Key Topics Covered The 27-year journey from academic curiosity to live trading Why 90% of forecasting models produce zero value The overfitting trap that kills most AI models How AI spotted the COVID crash two weeks early Why the black box problem isn't unique to AI The coming wave of humanoid robots and quantum computing Why GenAI hasn't cracked financial forecasting yet About Our Guest Miro Mitev is the founder and CEO of SmartWealth, a leading provider of AI wealth management. After earning his master's degree researching neural networks for stock prediction at Vienna University of Economics and Business Administration, he spent a decade at Siemens building forecasting systems for pension fund allocation and treasury operations. He then spent 16 years providing AI-driven research and portfolio optimization to institutional clients worldwide before founding SmartWealth in 2016 to close the loop—using the same battle-tested technology to directly manage client money. 00:00 Opening sequence 00:42 Introduction 01:23 Early Days With Neural Networks (1997) 04:46 From Academia to Banking 07:51 Siemens Years 11:08 The Path to SmartWealth 14:37 The Evolultion of AI Technology 17:15 The Challengs of Overfitting 20:54 The 5% Edge 24:34 Dealing With Irrational Markets 29:02 Black Swans and Market Crashes 32:33 Generative AI and LLMs 37:01 The Importance of Experience 41:00 The Perils of AI 44:55 SmartWealth Products and AMCs 54:08 Closing