Description

What does a truly “AI-ready” data and architecture stack look like? Connect with IT and data leaders for this session on AI architecture and data readiness. Hear how organizations are designing scalable, secure foundations for AI – from data platforms and integration patterns to model deployment and governance. Share practical approaches to preparing data for AI, including data quality, classification, access, and lifecycle management. Participants will exchange real-world experiences with modern architectures, tooling choices, and the challenges of moving from pilot to production.