Sovereign AI at the Application Layer - Enterprise, Finance, and Data
- WHO IT IS FOR: This technical event is designed for engineers, architects, and data leads working within enterprise, finance, and highly regulated sectors.
- WHAT IT IS ABOUT: The session explores sovereign AI at the application layer, focusing on how to utilize siloed enterprise data through context, federation, and privacy-preserving architectures.
- FORMAT: This event features a structured series of technical talks, project updates on Project Tapestry, and a dedicated networking session.
As AI shifts from training massive models to building systems that can actually utilize complex enterprise data, the industry faces a massive hurdle: how to access data that cannot be moved due to regulation and privacy constraints. Join AI Alliance NYC, Neo4j, and IBM in New York for a deep dive into the technical architecture required to bridge this gap. We will explore how to structure data for model reasoning, implement federated learning in regulated industries, and build the privacy-preserving stacks that allow institutions to collaborate safely.
In addition to exploring the technical stack, we will provide exclusive updates on Project Tapestry, the AI Alliance's consortium-driven open-weights model effort. This afternoon is built for practitioners looking to move past the hype and tackle the hard questions regarding data schemas, regulatory compliance, and the future of sovereign AI. The event concludes with a networking session designed to connect leaders facing these same enterprise-scale challenges.