Enterprise Technology Glossary

6,173 results · page 54 of 309

• Concurrency Control

  Concurrency control is the set of algorithms and mechanisms that coordinate simultaneous access to shared data so concurrent transactions maintain correctness and isolation, which supports data integrity, predictable behavior, and performance objectives in enterprise databases and transaction-processing systems.

• Condensate Management

  Condensate management is the discipline of collecting, conveying, treating, and disposing of water that condenses from HVAC, refrigeration, compressed air, and industrial systems, which matters for equipment reliability, regulatory compliance, indoor environmental quality, and prevention of water damage in enterprise facilities.

• Condenser

  Condenser is a heat-exchange device that converts vapor to liquid by removing heat, used in HVAC, refrigeration, power generation, and industrial processes. It matters to enterprises because its performance affects energy use, capacity planning, and regulatory compliance.

• Conditional Variational Autoencoder

  Conditional variational autoencoder is a generative deep learning model that learns conditional data distributions by incorporating labels or attributes into both encoder and decoder, supporting controlled synthetic data generation and data augmentation in enterprise machine learning and analytics workflows.

• Condition Monitoring

  Condition monitoring is a maintenance approach that tracks the health of equipment or assets using sensor data and diagnostics to detect degradation and predict failures, enabling condition-based maintenance planning and supporting reliability, safety, and cost control in enterprise environments.

• Confidence Interval Estimator

  Confidence interval estimator is a statistical procedure that uses sample data to construct an interval of plausible values for an unknown population parameter at a chosen confidence level, supporting uncertainty quantification in enterprise analytics, experimentation, model validation, and risk-aware reporting.

• Confidential AI

  Confidential AI is an approach to designing and running artificial intelligence systems that keeps data, models, and computations protected from unauthorized access during training and inference, which matters for enterprises handling regulated, sensitive, or proprietary information in cloud or hybrid environments.

• Confidential Computing

  Confidential computing is a hardware-based security approach that protects data in use by running workloads in isolated trusted execution environments with remote attestation. It matters for enterprises that need to process sensitive data on shared or third-party infrastructure while maintaining strict access and integrity controls.

• Configuration Baseline

  Configuration baseline is a formally approved reference configuration for a system or environment that defines the authorized hardware, software, and settings at a specific point in time, enabling controlled change management, compliance checks, and detection of unauthorized or unintended configuration drift.

• Configuration Drift

  Configuration drift is the condition in which the actual configuration of enterprise infrastructure or applications deviates from an approved baseline over time, which affects reliability, security, and compliance and requires monitoring and remediation within formal configuration and change management processes.

• Configuration Drift Detection

  Configuration drift detection is the process and tooling that identify when an IT system’s actual configuration deviates from its approved baseline, helping enterprises maintain standardized environments, support compliance controls, and manage operational and security risk across infrastructure and applications.

• configuration drift remediation

  Configuration drift remediation is the process of detecting, correcting, and preventing unauthorized or unintended deviations from approved configurations in IT and cloud environments, helping enterprises maintain consistent, policy-aligned, and auditable system states for security, compliance, and operational reliability.

• Configuration Integrity Check

  Configuration integrity check is a control that verifies that system, application, network, or cloud configurations remain aligned with an approved baseline and identifies unauthorized or unexpected changes, supporting security, compliance, and configuration governance across enterprise technology environments.

• Configuration Management

  Configuration management is a formal process and toolset for defining, controlling, and tracking the configuration of systems and assets over time so enterprises can maintain consistency, support operations and security, and demonstrate compliance with policies and standards.

• Configuration Management Database

  Configuration management database is a structured repository of configuration items and their relationships used to support IT service management, asset management, and governance. It matters because it centralizes configuration data for change control, incident analysis, compliance, and coordinated IT operations.

• Configuration Management Tool

  Configuration management tool is a software system that codifies and automates the desired state of infrastructure and applications, enabling repeatable configuration, reduced drift, and controlled change management across enterprise IT environments for operations, security, and compliance teams.

• Confusion Matrix

  Confusion matrix is a tabular representation of a classification model’s predicted versus actual labels, detailing true and false outcomes. It matters in enterprise contexts because it quantifies error types, supports model validation, and informs business, risk, and compliance decisions.

• Confusion Matrix Analysis

  Confusion matrix analysis is a method for evaluating classification models by organizing predicted and actual labels into a table, enabling enterprises to quantify different error types, derive metrics like precision and recall, and align model behavior with risk and compliance requirements.

• Connected Device Management

  Connected device management is the discipline and tooling that provision, monitor, update, and secure networked IoT and embedded devices across their life cycle, enabling enterprises to operate large, distributed device fleets with consistent control, security posture, and operational visibility.

• Connection Pooling

  Connection pooling is a technique that maintains a reusable set of open connections to databases or services, enabling applications to handle concurrent requests efficiently while controlling resource consumption, supporting service-level objectives, and aiding capacity planning in enterprise environments.