Miguel Fierro, Principal Data Science Manager at Microsoft, discusses the challenges of applying ML in robotics and the integration of computer vision in sports analytics. He highlights the role of AI in strategic game analysis and explores the evolution of recommendation systems, emphasizing the importance of real-time architectures for personalized recommendations.

Miguel Fierro, a Principal Data Science Manager at Microsoft with a PhD in robotics, dives deep into Microsoft's open-source recommenders repository, which boasts over 15k stars. He reveals how he transitioned from robotics to personalization, explaining the critical components of the system: examples, library, and tests. The conversation also explores the transformative impact of LLMs on recommender systems and emphasizes the ethical challenges and biases that must be addressed. Fierro concludes with insights on being a T-shaped data professional to thrive in a competitive landscape.