As artificial intelligence continues to reshape industries, the foundation it stands on—data architecture—has never been more critical. This keynote panel brings together leading voices to explore how modern data architectures are evolving to meet the demands of AI-driven enterprises. Panelists will discuss the shift from traditional data warehouses to real-time, scalable, and decentralized frameworks; the role of data governance and quality in training reliable AI models; and how organizations can future-proof their infrastructure for emerging AI capabilities. Attendees will gain insights into best practices, common pitfalls, and forward-looking strategies to align their data architecture with the accelerating pace of AI.