First Principles in Building a Real-Time AI Platform

Explore the fundamentals of building a Real-Time AI Platform in this 49-minute webinar from Data Science Dojo. Delve into the growing business demand for real-time AI/ML applications and the challenges of operationalizing AI/ML. Learn about key components of a Real-Time AI Platform, including feature stores, model registration, serving, and monitoring. Discover how Redis Labs is leveraging Redis' enterprise capabilities to empower developers in creating scalable Real-Time AI Platforms. Gain insights from industry examples and emerging architectures of early pioneers. The presenter, Taimur, brings 18+ years of experience in market development, business strategy, and customer success, including leadership roles at Microsoft's Azure Data Platform. Cover topics such as the importance of real-time AI, first principles approach, ML operationalization examples, feature stores architectures from DoorDash and Spotify, Redis Enterprise Architecture, and the ML lifecycle.