Architecting the AI Data Foundation: Interconnecting Governed Data Platforms Across Hybrid AI Ecosystems – Equinix Triple-T
As enterprises operationalize AI, managing data governance, sovereignty, and movement costs across distributed environments has become the primary bottleneck to scalable deployment. Establishing AI data platforms, lakehouses, and federated data functions at vendor-neutral interconnection hubs decouples critical enterprise data assets from specific compute venues. This session explores how housing the AI data control plane where enterprise networks, public clouds, and specialized neoclouds intersect enables zero-copy federation, real-time RAG, and edge caching—feeding any GPU environment while preserving governance, minimizing latency, and eliminating data gravity lock-in.
Glenn Dekhayser is a member of the Global Principal Technologists team at Equinix, which provides technical leadership to all internal Equinix stakeholder groups as well as to our global customer base and partner community. He has over 30 years of strategic IT industry experience, specializing in Enterprise Storage, Hybrid Multi-Cloud Architecture, Disaster Recovery, Holistic Data Management, and IT Security. He is an active member of storage and data-related industry groups and has presented at standards bodies such as SNIA. He currently focuses not only on Storage, AI, and Data-related topics at Equinix, but also advises Equinix’s partner organization and its digital services group. He is an author of the Authoritative Core architectural design pattern, which provides data-driven enterprises an optimized path to hybrid multicloud success.
