Data is critical for the success of AI — but can we lean on AI as a tool to address legacy data challenges? Does the new Agent persona interact with data, and what does that mean for the current industry standards for data architecture, governance, and quality? As AI systems become more autonomous, the traditional boundaries between data producers, consumers, and stewards are rapidly shifting.  How can emerging AI capabilities not only improve data quality but fundamentally reshape how organizations think about ownership, trust, and accountability in the data lifecycle?