The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) Feature Platforms for Data-Centric AI with Mike Del Balso - #577
Jun 6, 2022
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.
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Mike's ML Journey
- Mike Del Balso's ML journey began at Google Ads, where ML, though not explicitly named, powered ad relevance.
- At Uber, he spearheaded the ML platform team, creating Michelangelo, which influenced Tecton's focus on feature stores.
ML Platform Evolution
- In 2015, the focus was on end-to-end ML platforms like Michelangelo, aiming to democratize ML.
- However, the industry shifted towards reusable components, recognizing no one-size-fits-all solution exists.
Cloud's Impact on ML
- Cloud platforms have simplified data storage and access, eliminating the need for large, dedicated infrastructure teams.
- This standardization allows ML teams to share tools and connect to common data systems, accelerating innovation.