AI is rapidly reshaping how organizations operate, yet many teams remain stuck in pilot mode - testing promising use cases without achieving enterprise‑wide impact. The biggest barrier isn’t the technology itself; it’s the data. Personalization at scale depends on trustworthy, well‑governed first‑party data, and most organizations are still navigating fragmented systems, inconsistent access, and governance gaps. Key takeaways: - Understand the current state of AI adoption across agencies, brands, and publishers - Learn which AI use cases are already driving measurable results (segmentation, data aggregation, real‑time optimization) - Identify the root causes of the “Customer Data Divide” and how it slows personalization - Discover how to strengthen first‑party data quality, access, and governance - Walk away with a practical blueprint for scaling personalization and aligning business + IT around a trusted data strategy