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Many financial institutions are finding that improving education isn't enough to solve their data management struggles. It’s time to move from “proof of concept” to “intelligence orchestration.” The gap between AI experimentation and real-world ROI is widening. In this video, we break down why a robust, proprietary data foundation is the only way to scale AI safely and effectively. We explore why financial services must move beyond public data and focus on unique, high-value data assets to create a true competitive advantage.

In this episode, Dana Gardner sits down with three industry experts from Snowflake: Rosemary DeAragon, Rinesh Patel, and Tim Long to explore how AI will transform retail, financial services, and global manufacturing in 2026. Together, they break down the forces reshaping consumer behavior, enterprise operations, and competitive dynamics across these sectors. Across all three industries, one theme is clear: in 2026, AI will no longer be a side experiment. It will be a foundational driver of growth, efficiency, and competitive advantage.

Documents are the foundation of nearly every process in financial services, including client onboarding, regulatory reporting, trade lifecycle management, asset servicing, and more. This constant flow of unstructured content, such as Investment Policy Statements, complex legal agreements, and compliance forms, burdens teams with manual review, creates significant operational friction, and increases the risk of data inconsistency and regulatory non-compliance. Watch this video to see how Appian DocCenter automates the entire document lifecycle.