What’s ahead in data architecture for 2026

AI technologies are not just enhancing existing technology portfolios — they are reshaping how organizations think about modern data architecture, elevating modernization from a competitive advantage to an essential business requirement. To build integrated AI-enabling infrastructure stacks, organizations are evaluating and adopting a variety of supporting components that collectively enable the diverse data integration, contextual understanding, and flexible processing capabilities required. This DBTA expert panel explores the key technologies and trends paving the road ahead.