Stefan Jansen is the founder and CEO of Applied AI. He advises Fortune 500 companies, investment firms, and startups across industries on data & AI strategy, building data science teams, and developing end-to-end machine learning solutions.
Before his current venture, he was a partner and managing director at an international investment firm, where he built the predictive analytics and investment research practice. He was also a senior executive at a global fintech company with operations in 15 markets, advised Central Banks in emerging markets, and consulted for the World Bank. In this podcast, we discuss:
01. Defining AI as a Moving Target
02. The Trading vs. Business Data Science Divide
03. Synthetic Data and the "Fat Tail" Challenge
04. Shapley Values: Turning Black Boxes Grey
05. Agentic AI and Unstructured Data
06. RAG, Provenance, and the Context Window Debate
07. The "Alpha Factory" Workflow
08. Reinforcement Learning (RL) for Execution, Not Prediction
09. The Critical Role of Human Context
10. Advice for the AI-Native Job Market
Stefan JansenGuest
Bilal HafeezHost
