We are all experiencing the disruption artificial intelligence brings to our everyday lives. These changes also affect how we find insights from analytics in real time. This session serves as a simple guide to the convergence of real-time analytics and AI, exposing the synergies and opportunities that arise from their integration.
Unlike traditional AI, which often works with static datasets, these solutions focus on processing live data streams to provide instant insights, predictions, or decisions. This approach is critical for scenarios where timely responses are essential, such as fraud detection, personalized recommendations, autonomous systems, and real-time monitoring.

This session is perfect for anyone interested in using AI in real time but doesn't know where or how to get started. The key components will cover:
1. Multi-Agent Dynamic Orchestration and Workflows
2. Event-Driven Agents
3. Stream Processing AI Inference
4. Real-Time Analytical ChatBot