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Hard Learned Lessons from Over a Decade in AI

MLOps.community via YouTube

Overview

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Explore over a decade of AI industry insights through this 49-minute conference talk featuring Tecton's Founder and CEO Mike Del Balso in conversation with Demetrios from MLOps.community. Discover which ML/AI use cases serve as core revenue-generating components worth millions and examine the maturity curve that predictive machine learning applications have traversed over the past five years. Learn why feature stores have become essential components of modern ML stacks and gain practical insights from someone who co-created Uber's Michelangelo ML platform and managed core ML systems powering Google's Search Ads business. Delve into critical topics including data pipeline challenges and solutions, the evolution of ML use cases, strategic build-versus-buy decisions in ML infrastructure, fintech data strategies, real-time ML requirements, accelerating ML delivery timelines, ML valuation methodologies, toolkit simplification approaches, AI copilot implementations, fraud detection systems, and the intersection of feature platforms with generative AI technologies.

Syllabus

[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?

Taught by

MLOps.community

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