13. Customized Portfolios Using Machine Learning: Interview with Stefan Klauser

The chapter delves into the future of asset management, envisioning a landscape where portfolios are real-time and hyper-personalized, driven by advanced AI technologies. Stefan Klauser, interviewed by K. Wendt, discusses the critical role of AI in asset management, particularly the challenges and opportunities in integrating AI to enhance investment decisions. The text explores the need for next-generation data processing infrastructure and algorithms to achieve real-time portfolio optimization. It also highlights the inefficiencies of siloed AI operations and the potential of AISOT's platform in democratizing access to advanced ML tools. The chapter further addresses the importance of ESG criteria in portfolio management and AISOT's efforts in offering AI-optimized, ESG-related investment products. By integrating hundreds of data features and considering covariance effects, AISOT aims to deliver more meaningful signals and strategies, making asset management more accessible and sustainable.