Mike Del Balso

Mike Del Balso, CEO and co-founder of Tecton, shares his decade-long journey in AI innovation, including the creation of Uber's Michelangelo ML platform. He discusses the evolution of predictive machine learning use cases, emphasizing the significance of feature stores. Del Balso explores the challenges of real-time data utilization, fraud detection, and the importance of model maturity in business impact. He also highlights the relevance of integrating generative AI with ML for enhanced marketing efficiency, turning complex data into smarter decisions.

In this engaging conversation, Mike del Balso, Co-founder and CEO of Tecton, shares insights on feature stores and their critical role in MLOps. He discusses his journey from creating Uber's ML platform, Michelangelo, to building Tecton. Mike delves into the essential components of an effective machine learning stack and highlights the differences between standalone components and feature stores. The discussion also touches on deployment strategies, the importance of data consistency, and what makes Tecton's offering unique in a competitive landscape.

Mike Del Balso, CEO of Tecton, and Josh Wills, Angel Investor, discuss the importance of feature stores and platforms for ML applications. They explore challenges in operationalizing data pipelines, integrating offline and online data stores, and templatizing workflows for fraud detection and recommendation systems. The concept of gamification in feature creation is also explored.