Michael Del Balso
Michael is the Co-Founder and CEO of Tecton, an enterprise feature store for machine learning that simplifies deploying ML in production, supported by top investors like Sequoia and Andreessen Horowitz. Previously, he led Uber’s machine learning platform, Michelangelo, scaling AI adoption and shaping the company’s AI strategy. At Google, he managed ML for Search Ads, driving billion-dollar impacts with advanced models. A University of Toronto graduate in Electrical and Computer Engineering, Michael specializes in scalable ML systems and AI innovation.
Speaker Sessions
Improving AI Accuracy with Real-Time Context Management and Agentic Workflows
This session explores how Tecton's enterprise-ready AI data platform facilitates real-time context management to streamline AI application development. Attendees will learn how to leverage features like real-time context for generative AI and elimination of offline/online skew for increased model accuracy. The session will also cover rapid experimentation and efficient compute for features, embeddings, and prompts to achieve faster, cost-effective AI deployments.