Open source and AI are moving fast, so how can we scale these technologies without breaking things?
In this episode of The STEMINISTS Podcast, Phoebe Goh and Mekka Williams sit down with Amanda Katona, Director of Developer and Open Source Engagement at NetApp and a 2026 OpenSearch Ambassador. Together, they explore the massive shift happening right now at the intersection of AI and open source, and why community-driven innovation is critical for the future of enterprise technology.
Listen to how organizations can navigate complex data infrastructure, strict security needs, and the rising demand for reliable AI applications. You will also learn how the open source community is drafting new governance policies to manage AI-assisted code safely and effectively.
Key takeaways from our conversation:
The latest trends in open source AI, including the fast-growing Agentic AI Foundation and the Model Context Protocol. How OpenSearch powers rapid product discovery, vector search, and intelligent observability. The biggest friction points enterprises face when taking open source projects from pilot to production. Why managed open source solutions help teams hit strict SLAs, lower costs, and keep developers focused on solving hard problems rather than managing infrastructure. Common misconceptions about losing control of your technology roadmap when you embrace open source. Whether you write code or manage enterprise IT, this conversation offers a clear look at the future of AI.
Resources mentioned in this episode:
Learn more about NetApp Instaclustr's commitment to open source Check out the Exploring AI Playlist on YouTube If you enjoyed this conversation, please share, download and leave a review for The STEMINISTS Podcast wherever you listen to your favorite shows!
https://www.linkedin.com/in/amandakatona/
https://www.linkedin.com/in/mekkacodes/
https://www.linkedin.com/in/phoebegoh/