Build What’s Next: Digital Product Perspectives
Build What’s Next: Digital Product Perspectives

AI Field Guide: The Missing Middle - How to Build an End-to-End AI

04 May 2026 58:46 Method

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About this episode

In this episode of Build What's Next, Theo Munoz, Miguel Ribeiro, and Natan Szczepaniak discuss Machine Learning Operations (MLOps) and why an estimated 80% of ML models built in notebooks never make it to production. The hosts argue that the failures stem less from technology and more from organizational issues like a lack of clear ownership, insufficient investment in data engineering, and poor data foundations. Learn how standardization, shared ownership between business and engineering, and robust model governance are crucial to scaling AI safely, especially as the industry shifts towards Gen AI.

To find more episodes, visit method.com/insights/podcasts/

Episode Resources: 

Method.com

Theo Munoz on Linked-In: /in/theo-munoz-090a88151/

Miguel Ribeiro on Linked-In: /in/miguel-ribeiro-3439328a/

Natan Szczepaniak on Linked-In: /in/natan-sz/

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