Why does this matter operationally?

Automation

The use of software-defined logic, AI inference, and closed-loop control to remove human decision-making from routine or time-critical operations. Connectivity is the prerequisite for automation — data must move reliably before any automated response can be trusted.

298 terms

AI Agent AI Agent is an AI-enabled system that can interpret goals or instructions, plan or select actions, and execute a sequence of steps using available tools, models, or application interfaces. Concept/Framework AI Harness AI Harness is the set of software, instrumentation, and test scaffolding used to evaluate, constrain, and observe an AI system during development or live operation. Software AIOps AIOps is the application of artificial intelligence and machine learning techniques — including anomaly detection, event correlation, and pattern recognition — to IT operations and network management data, aimed at… Concept/Framework Alarm Flood Suppression Alarm Flood Suppression is the reduction or filtering of many simultaneous alarms so operators can focus on the underlying event or primary fault. Operations Alarm Management Alarm Management is the practice of defining and handling alarms so operators can detect and respond to abnormal conditions effectively, focusing on alarm relevance, priority, and presentation. Operations Alarm Management System Alarm Management System is the system used to collect, prioritize, suppress, route, and present alarms for operator action. Software AMQP A standardized, broker-based messaging protocol providing flexible message routing, transactional delivery guarantees, and cross-vendor interoperability, designed for reliable service-to-service and enterprise integration messaging over well-connected networks. Protocol AMR A remote meter reading technology transmitting periodic consumption totals outbound from the meter using one-way radio or power-line communication, eliminating the need for manual meter reading while providing no return… Concept/Framework Analog Signal Scaling Analog Signal Scaling is the conversion of an analog input or output range into engineering units or another usable value range. It makes the signal easier to interpret. Operations Anomaly Detection Anomaly Detection is a machine learning technique that identifies data points, events, or observations which deviate significantly from an established baseline of expected or normal behavior, typically without requiring labeled… Concept/Framework