The playbook for a sovereign Model-as-a-Service platform by Camille Nigon

That third-party LLM API bill just landed. It's… impressive. And so are the questions from your security team about where your proprietary data is really going. While the world sprints to integrate AI, many of us have become addicted to the convenience of black-box APIs, trading control for speed, and creating massive risks in the process. It's time to break free. This session is for engineers who want to move beyond just calling an API. We'll roll up our sleeves and architect a private Model-as-a-Service (MaaS) platform using powerful open-source models. Forget theory - this is a practical blueprint for tackling the gnarly, real-world challenges of observability and control. We'll demonstrate how to apply robust access policies, gain deep usage analytics, and manage costs effectively. Leave this session with a concrete playbook to stop being a consumer and start being a provider. It's time to take back control, build your own AI destiny, and deploy with confidence. About the speaker: Camille Nigon, Solutions Architect AI Camille is a Solutions Architect at Red Hat with a background in AI/ML and a keen interest in open-source projects. Passionate about knowledge sharing, Camille engages in technical workshops, public speaking, and hands-on projects to help others navigate the evolving AI landscape.