Organizations are transforming operations by turning streaming data into immediate action. In this technical session, we'll explore implementation patterns from real-world customer deployments - showing how businesses ingest event data from IoT devices, PoS systems, and enterprise applications to enable predictive actions and automated responses. We'll walk through scenarios ranging from manufacturing efficiency to emissions detection, inventory optimization to delivery tracking, demonstrating how to combine real-time events with historical data for comprehensive insights.

You'll learn practical approaches for building solutions process events at scale, whether you are using that data for Power BI reports or real-time AI systems. Whether you're starting your Real-Time Intelligence journey or scaling existing deployments, this session will equip you with architectural patterns and best practices already delivering measurable business impact in production environments.

Key Takeaways:
• Architectural patterns for ingesting, processing, and acting on event-driven, high-velocity data at enterprise scale
• How and where to combine real-time event processing with historical analytics for dynamic insights
• Approaches for building event-driven solutions that automate decision-making and reduce latency
Real-world implementation lessons from customers across multiple industries and use cases