AI/ML Product Management
Kai, a senior product manager at Uber’s AI division, discusses AI and machine learning (ML) product management, focusing on Uber’s Michelangelo platform, which powers ML use cases like ride matching, ETA calculations, and personalized food recommendations. AI simulates human intelligence, often through ML, where systems learn rules from data via algorithms, producing models for predictions. AI products, classified as tools, services, or applied ML (e.g., Google Search, self-driving cars), enhance productivity but differ from traditional software by requiring model performance, data quality, and larger, diverse teams. AI product managers need technical ML knowledge, data literacy, and user-centric focus, alongside skills in problem mapping, explainability, timeline management, and risk handling with fallback plans.
Source: Product School