As enterprises strive to gain differentiation through data and AI, the architecture required to support data and AI systems is undergoing a radical transformation. What are the software architecture, platforms and capabilities required to fulfill emerging data and AI requirements?  Examine the role of real-time data with event-driven architecture as well as streaming data processing and analytics, identifying when it is the “right-time” for investment and impact. Discover how data platforms are evolving to meet the demands of next-generation agentic applications, and why data management is essential for enabling governance, integration  and intelligence across public and private cloud-centric environments to meet efficiency and data sovereignty requirements. How can data operations software can simplify collaboration between IT and business teams, empowering more agile and intelligent decision-making across the enterprise?