Hard Learned Lessons from Over a Decade in AI

Tecton⁠ Founder and CEO Mike Del Balso talks about what ML/AI use cases are core components generating Millions in revenue. Demetrios and Mike go through the maturity curve that predictive Machine Learning use cases have gone through over the past 5 years, and why a feature store is a primary component of an ML stack.// BioMike Del Balso is the CEO and co-founder of Tecton, where he’s building the industry’s first feature platform for real-time ML. Before Tecton, Mike co-created the Uber Michelangelo ML platform. He was also a product manager at Google, where he managed the core ML systems that power Google’s Search Ads business. He studied Applied Science, Electrical & Computer Engineering at the University of Toronto.// Related LinksWebsite: ⁠www.tecton.ai⁠~~~~~~~~ ✌️Connect With Us ✌️ ~~~~~~~Catch all episodes, blogs, newsletters, and more: ⁠https://go.mlops.community/TYExplore⁠MLOps Swag/Merch: [⁠https://shop.mlops.community/⁠]Connect with Demetrios on LinkedIn: ⁠/dpbrinkm⁠Connect with Mike on LinkedIn: ⁠/michaeldelbalso⁠Timestamps:[00:00] Smarter decisions, less manual work[03:52] Data pipelines: pain and fixes[08:45] Why Tecton was born[11:30] ML use cases shift[14:14] Models for big bets[18:39] Build or buy drama[20:20] Fintech's data playbook[23:52] What really needs real-time[28:07] Speeding up ML delivery[32:09] Valuing ML is tricky[35:29] Simplifying ML toolkits[37:18] AI copilots in action[42:13] AI that fights fraud[45:07] Teaming up across coasts[46:43] Tecton + Generative AI?