Sponsored by: Wisdom AI | Why Data Analysts are the Future of AI: The Rise of AI Context Engineers

AI analytics projects struggle to scale beyond demos because AI understands code but lacks critical business context—details like defining churn or explaining anomalies. Without this knowledge, AI produces wrong answers. The essential context is held by data analysts, who are currently underutilized. In this session, Kapil Chhabra introduces the AI Context Engineer, a vital new role merging analytics, data engineering, governance, and business strategy. Learn why this role is critical for building trusted AI on modern lakehouse platforms like Databricks. You will learn: why AI analytics projects fail; the four layers of context AI requires; how analysts become AI Context Engineers; and how governance improves trust in AI outputs. Success belongs to the companies that operationalize context.