The Build-Operate Divide - Bridging Product Vision and AI Operational Reality
AI Engineer via YouTube
Learn AI, Data Science & Business — Earn Certificates That Get You Hired
Build AI Apps with Azure, Copilot, and Generative AI — Microsoft Certified
Overview
Google, IBM & Meta Certificates – 40% Off
One plan covers every Professional Certificate on Coursera.
Unlock All Certificates
Learn how to bridge the critical gap between AI product vision and operational implementation in this conference talk featuring Chris Hernandez from Chime and Jeremy Silva from Freeplay. Discover an integrated framework that transforms fragmented AI workflows into unified approaches, covering everything from prototyping and prompt testing to human review loops and model benchmarking. Explore strategies for building evaluation systems that satisfy both technical and business stakeholders, creating effective human-in-the-loop processes from day one, and using quality assurance as a strategic enabler of generative AI quality. Gain insights from seasoned practitioners on how product and operations teams can collaborate effectively to deliver AI features that scale responsibly and ship faster with confidence, moving beyond the typical friction between product possibilities and implementation realities.
Syllabus
The Build-Operate Divide: Bridging Product Vision and AI Operational Reality
Taught by
AI Engineer