I fully believe that the true power of Generative AI isn't unlocked by centralized data science teams; it's unlocked when thousands of distributed developers are empowered to build niche, use-case-specific solutions. The big dilemma when you start though is how do you provide the frameworks, tools, and product strategy to make this happen securely at a global scale?
My session dives into the AI Product Strategy behind democratizing AI development. We will explore how providing low-code wrappers around powerful LLMs enabled a community of over 15,000 developers across 40 countries to build vertical-specific AI agents. We will unpack the tooling required to bridge the gap between complex legacy systems (like on-premise EHRs) and modern Generative AI interfaces. Attendees will learn the best practices for building an internal "Agent Ecosystem," measuring developer adoption, and ensuring that grassroots AI innovations align with enterprise security standards.