Mike Del Balso

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.

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.

In this engaging conversation, Mike Del Balso, Co-founder and CEO of Tecton, shares insights from his experience building machine learning platforms at Uber. He discusses the evolution of data infrastructure, highlighting the shift to cloud-based systems and the importance of feature platforms. Del Balso elaborates on the ML Flywheel concept, emphasizing how data can supercharge machine learning. He also tackles the challenges of assembling effective ML teams, offering strategies to avoid common pitfalls and enhance collaboration across teams.