Systems | Development | Analytics | API | Testing

In 2025, real-time data moved from important to mission-critical. From billion-event pipelines to AI agents reasoning over fresh data streams, the conversations this year revealed just how fast organizations are rethinking their data infrastructure and what’s possible when data streaming becomes the foundation.

Technology leaders share how they process streaming events end-to-end in sub-second latency, secure sensitive data through immutable and governed pipelines, power secured real-time systems in regulated environments, and enable multi-agent AI systems built on fresh, continuously streaming data.

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.

AI agents are becoming more autonomous — making decisions, taking actions, and accessing sensitive data — but traditional IAM systems weren’t built for them. How do you secure, control, and audit AI agents in your apps? In this video, Savindi Waduge introduces *WSO2 Identity Server 7.2,* a major release designed to address the security challenges of the AI era. From defining "Identity for AI Agents" to securing the *Model Context Protocol (MCP)* , this update ensures your autonomous systems are secure, accountable, and manageable.

Learn about StudioAssist: "Agent Mode," powered by the new MCP Server. This isn't just a chatbot; it's an AI co-pilot that can directly act on your project to build, troubleshoot, and maintain tests.