Enterprise Technology Glossary

6,173 results · page 83 of 309

• Deep Learning Accelerator

  Deep learning accelerator is a specialized compute platform that executes deep neural network workloads more efficiently than general-purpose processors, enabling enterprises to meet performance, latency, and energy constraints for AI training and inference in data center and edge environments.

• Deep Learning Compiler

  Deep learning compiler is a software toolchain that converts trained neural network models into optimized code for specific hardware targets. It matters in enterprises because it enables efficient, predictable deployment of inference workloads across heterogeneous CPUs, GPUs, accelerators, and edge devices.

• Deep Learning Framework

  Deep learning framework is a software library or platform that supplies reusable components, abstractions, and tooling to construct, train, and deploy neural network models, enabling enterprises to operationalize AI workloads within broader data, application, and infrastructure environments.

• Deep Learning Training

  Deep learning training is the compute-intensive process of optimizing deep neural network parameters on large datasets to minimize a loss function, enabling enterprises to build domain-specific models for tasks such as vision, language, recommendation, and anomaly detection within governed ML pipelines.

• Deep Neural Network

  Deep neural network is a neural network architecture with multiple hidden layers that learns hierarchical feature representations from data. It matters in enterprise contexts because it underpins many AI capabilities for perception, prediction, and language tasks across business applications.

• Deep Packet Inspection

  Deep packet inspection is a network traffic analysis technique that examines packet headers and payloads across protocol layers to classify applications and content, enforce security and compliance policies, and support monitoring and control of enterprise and service provider networks.

• Deep-Sea Sensor Node

  Deep-sea sensor node is a pressure-tolerant subsea measurement unit that operates on the seafloor or in deep water to collect and transmit oceanographic or geophysical data, supporting monitoring, risk management, and research for offshore, environmental, and infrastructure-focused enterprises.

• Deep Space Communication Network

  Deep space communication network is a ground and space-based infrastructure that provides telemetry, tracking, command, and data transmission between Earth and spacecraft beyond Earth orbit, which supports safe operations, navigation, and data return for governmental, scientific, and commercial deep space missions.

• Deep Space Network

  Deep Space Network is a global system of large ground antennas and control infrastructure that provides continuous two-way communication, tracking, and telemetry services for interplanetary spacecraft and select astronomy missions, which matters for organizations working with deep space data, navigation, and ground-segment design.

• Deep Space Surveillance Network

  Deep Space Surveillance Network is a U.S. Department of Defense ground-based radar network that detects and tracks deep space objects in Earth orbit, providing orbital data that supports space domain awareness, collision avoidance, satellite operations, and broader space traffic management activities.

• Defense Cloud Exchange

  Defense Cloud Exchange is a United States Department of Defense cloud access architecture that provides controlled, monitored connectivity between DoD networks and approved commercial cloud services, enabling mission systems to use external cloud environments while maintaining mandated boundary protection and cybersecurity controls.

• Defense Cloud Infrastructure

  Defense cloud infrastructure is a cloud computing environment that defense organizations use to host and manage mission-critical and classified workloads under defined security, compliance, and resilience requirements, supporting applications, data, and services across on-premises, cloud, and tactical environments in a controlled manner.

• Defense in Depth

  Defense in depth is a cybersecurity strategy that implements multiple, overlapping security controls across technology, processes, and people to prevent, detect, and contain attacks, reduce single points of failure, and support enterprise risk management and compliance objectives.

• Defense Industrial Base

  Defense Industrial Base is the collective of government, commercial, and academic organizations that research, develop, produce, and sustain military systems and services, and it matters because its security, reliability, and compliance directly affect defense readiness and national security objectives.

• De-Identification Framework

  De-Identification Framework is a structured set of concepts, methods, and governance controls that organizations use to transform personal data so individuals are not directly identifiable, enabling analytics and data sharing while managing privacy, compliance, and re-identification risk in enterprise environments.

• De-Identification Pipeline

  De-identification pipeline is a structured, automated process that removes or transforms identifiers in data to reduce re-identification risk while preserving analytical utility, enabling compliant reuse and sharing of datasets under privacy regulations and internal governance policies in enterprise environments.

• De-Identification Service

  De-identification service is a technical or managed capability that systematically removes, masks, or alters identifiers in datasets so individuals cannot be readily identified, enabling analytics and data sharing while helping enterprises manage privacy, compliance, and data protection requirements.

• Delegated Access

  Delegated access is an authorization pattern where a resource owner grants another entity controlled, time-bound, and scoped access to protected resources, enabling applications or services to act on a user’s behalf while maintaining least-privilege control and auditability in enterprise environments.

• Delta Lake

  Delta Lake is an open source storage framework that adds ACID transactions, schema enforcement, and table management to data lakes, enabling enterprises to run reliable analytics and data science workloads on large-scale batch and streaming data stored in object stores.

• Demand Response Management

  Demand response management is the coordinated control of electricity consumption in response to grid conditions or price signals, enabling enterprises and utilities to adjust or shift load for system reliability, peak reduction, and monetization of flexible energy use in structured programs.