Episodes featuring Joe McCunney
Episode 36: Removing Data Consistency Bottlenecks : Building High Margin Scalable AI Business on Cloud
Joe McCunney, CEO of Scalar Labs, makes the case that reliable, consistent data across environments is the hidden bottleneck for enterprise AI, especially in large organizations juggling 300+ database types. He explains how ScalarDB acts as a database-agnostic binder that connects multiple data sources and treats them as a single database, and how the company's open source refactoring agent generates architecture docs and migration plans that cut enterprise design time by up to 85%.
![Building the Business Behind Open Source AI @ AWS San Francisco [Live]](https://i.ytimg.com/vi/wVRZe8xhymQ/maxresdefault.jpg)
Episode 30: Building the Business Behind Open Source AI @ AWS San Francisco [Live]
A live panel recorded at AWS San Francisco bringing together open-source AI founders and builders from Zep AI, DataRobot, Command Prompt, Scalar Labs, StreamNative, and Omnistrate. The group moves past technical specs to share strategic and personal reflections on how open source AI teams deploy, scale, and monetize.