Dashboards are effective at showing us that something is breaking, but they usually rely on a human to watch the screen and decide what to do next. In this session, we will look at how to take a standard real-time telemetry dashboard and make it autonomous.

We will walk through a practical implementation using an Angular frontend and a Node.js server. We’ll look at how the system leverages a relational database for persistence and a Redis in-memory cache to handle high-frequency and short volume data feeds. From there, we incorporate an AI Agent that follows three core principles: perceiving the data stream through a sliding window, reasoning against statistical control limits, and acting by sending real-time analysis back to the user. This session is focused on bridging the gap between raw data streams and automated decision-making.

Agenda

• The Real-Time Feed: Monitoring Device Telemetry

An introduction to the live system where devices emit high-frequency data for quality monitoring and 3 sigma control limit oversight.

• System Architecture: From Ingestion to Persistence

A deep dive into the technical stack, mapping out the data journey through Node.js, Redis in-memory caching, and relational database storage.

• The Human in the Loop: Cognitive Limitations

Exploring the "Passive Monitoring" challenge—why relying on human interpretation of real-time alerts creates a bottleneck in process control.

• The AI Agent: Applying the 3 Principles

Implementing the "Active Observer" using the three core pillars of AI Agents: Perception (the window), Reasoning (the limits), and Action (the analysis).

• The Intelligent Journey: Summary & Advantages

Recapping our transition from a passive monitor to a smart system and discussing the advantages of automated, agentic data interpretation.

Why Attend?

The industry is moving beyond simple "Chat" interfaces and into the realm of Agentic Observability. By attending this session, you will see a practical blueprint for integrating intelligence directly into a high-velocity data stack.

Who is this for?

• Junior Developers: Learn the fundamentals of real-time streaming, how to manage state in Node.js, and how to interact with AI APIs in a professional environment.

• Senior Engineers & Architects: See a robust architectural pattern for integrating Redis, relational databases, and AI Agents while maintaining system stability and security.

• Decision Makers (VPs/Directors): Understand the ROI of "Active Monitoring"—how AI Agents can act as a force multiplier for your engineering teams by automating the first layer of data interpretation.

• Quality & Reliability Engineers: Explore how to digitize the control limit logic you already use into an autonomous 24/7 "Digital Twin."

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