In this session, we will dive into building a comprehensive Edge/IoT anomaly detection solution by combining event-driven architecture with the power of local AI and Timeplus’ real-time SQL engine. Utilizing Ollama’s AI capabilities at the edge, we eliminate reliance on cloud infrastructure, resulting in a low-latency and highly scalable approach.
The session will cover how to integrate real-time and historical data for a rich context, essential for precise AI-driven applications, all within a streamlined SQL-based environment. This presentation will highlight an edge-based DDoS detection system as a practical example of event-driven IoT anomaly detection, showcasing how localized processing can provide rapid threat identification and mitigation.
Key Point
– How event-driven design enhances the responsiveness of IoT anomaly detection.
– Utilizing a simple SQL-based interface to develop LLM-powered AI applications with ease.
– Real-world application of a DDoS detector as an example of edge AI in action.
Speaker
Gang Tao
CTO
Timeplus