In this session, we will explore how to build a robust IoT anomaly detection solution by combining the power of local AI and Timeplus’ real-time SQL engine. By leveraging Ollama's AI capabilities, integrated directly at the edge, this approach eliminates the need for cloud infrastructure, providing a scalable, low-latency solution.
Attendees will learn how Timeplus enables seamless integration of real-time and historical data as context for AI-driven applications, all within a simple SQL-based environment. This session is ideal for developers looking to simplify LLM application development, reduce operational complexity, and deploy powerful AI solutions with minimal components.
Key takeaways:
How to provide Real-time and historical context for IoT anomaly detection
Simple SQL-based interface for building LLM-powered AI applications
Operational efficiency with edge computing and minimized deployment complexities