Enterprise Technology Terminology

5,405 results · page 22 of 271

• Automated Quality Check

  Automated quality check is a rule-based or model-based process in which software evaluates products, data, or digital artifacts against predefined quality criteria, enabling consistent inspection, auditability, and enforcement of enterprise quality standards across manufacturing, software delivery, data pipelines, and other operational workflows.

• Automated Reasoning Engine

  Automated reasoning engine is a software component that uses formal logic and algorithmic inference to check rules, constraints, or models, enabling enterprises to verify correctness, consistency, and policy compliance within systems, configurations, and decision-support or formal verification workflows.

• Automated Remediation

  Automated remediation is the use of software-driven workflows to execute predefined corrective actions on IT, security, or data issues without manual handling of each event, helping enterprises enforce consistent responses, reduce exposure windows, and support compliance and auditability.

• Automated Resilience Testing

  Automated resilience testing is the software-based execution of predefined fault, stress, and recovery scenarios to verify how enterprise systems maintain operation and recover under adverse conditions. It matters because it provides repeatable evidence for availability, reliability, and continuity objectives and risk management.

• Automated Resource Balancer

  Automated resource balancer is a control mechanism that monitors compute, storage, or network utilization and automatically reallocates resources across workloads using predefined policies and real-time metrics, helping enterprises maintain performance targets, capacity efficiency, and governance constraints in shared or multi-tenant environments.

• Automated Root Cause Analysis

  Automated root cause analysis is a software-based method that applies analytics and correlation to operational data to identify underlying causes of incidents or performance issues, helping enterprises reduce investigation time and support consistent, cause-focused remediation and reliability practices across complex systems.

• Automated Waste Collection

  Automated waste collection is a waste management method that uses fixed pipe networks, vacuum transport, and control systems to move waste from distributed inlets to a central terminal, relevant to urban planners and facility operators designing integrated, data-enabled waste infrastructures.

• Automatic Generation Control

  Automatic generation control is a closed-loop control function in power systems that adjusts generator outputs to maintain system frequency and scheduled interchange, supporting reliability, regulatory compliance, and delivery of regulation and balancing services in utility and transmission operator environments.

• Automatic Mixed Precision

  Automatic mixed precision is a deep learning training optimization technique that uses both lower- and higher-precision floating-point formats to improve computational and memory efficiency while preserving accuracy, which matters for enterprises seeking to control infrastructure cost and resource use in AI workloads.

• Automatic Target Recognition

  Automatic target recognition is the automated detection, classification, and identification of targets or objects in sensor data, relevant to enterprises that deploy radar, imaging, or other sensing systems and need repeatable, time-bounded recognition performance within larger operational architectures.

• Automatic Transfer Switch

  Automatic transfer switch is an electrical device that detects failure or degradation of a primary power source and automatically connects loads to an alternate source, supporting enterprise power continuity, uptime objectives, and compliance with facility, safety, and availability requirements.

• Automation

  Automation is the use of technology to execute predefined tasks and workflows with minimal human intervention in software, hardware, and integrated systems. It matters in enterprises because it supports consistency, scalability, compliance, and efficiency across IT, security, and business operations.

• AutoML

  AutoML is a collection of methods and tools that automate stages of the machine learning lifecycle, including model selection and tuning, so enterprises can standardize model development, compare alternatives systematically, and integrate automated training into governed analytics and MLOps environments.

• Autonomous Agent Framework

  Autonomous agent framework is a software architecture and tooling stack that organizes how AI or software agents perceive context, make decisions, and execute actions independently, enabling enterprises to design, govern, and integrate autonomous behaviors within existing data, security, and operations environments.

• Autonomous Devices

  Autonomous devices are physical systems that independently perform tasks and make bounded operational decisions using embedded sensors, computation, and control logic, often integrated with AI and networks, and matter in enterprises for automating work, collecting telemetry, and operating within cyber-physical architectures.

• Autonomous Edge Agent

  Autonomous edge agent is a computational entity that runs on edge infrastructure to perform local decision-making, control, or analytics with intermittent or minimal dependence on centralized systems. It matters because enterprises use it to maintain local autonomy, latency control, and resilience at distributed sites.

• Autonomous Edge Cluster

  Autonomous edge cluster is a distributed group of edge computing nodes that runs and manages workloads locally without constant connectivity to central cloud or data center control, which supports resilient operations and policy enforcement in bandwidth- or latency-constrained enterprise environments.

• Autonomous Goal Generation

  Autonomous goal generation is a capability in artificial intelligence where systems formulate and update their own objectives based on learned models and feedback, helping enterprises reduce manual task specification while requiring strict controls for safety, governance, and alignment with organizational policies.

• Autonomous Infrastructure

  Autonomous infrastructure is an IT infrastructure stack that uses software-defined control, analytics, and machine learning to monitor, configure, and remediate itself with limited human intervention, enabling policy-based management, predictable service levels, and consistent governance across data center, cloud, and edge environments.

• Autonomous Navigation Rover

  Autonomous navigation rover is a mobile robotic platform that uses onboard sensing, perception, and control to move through environments without continuous human input. It matters in enterprise contexts for automating transport, inspection, and data collection within cyber-physical and industrial systems.