Enterprise Technology Glossary

6,173 results · page 95 of 309

• EC2

  Amazon Elastic Compute Cloud (EC2) is an AWS infrastructure-as-a-service offering that provides on-demand, metered virtual compute instances in the cloud, used by enterprises as core compute building blocks for applications, data workloads, and scalable IT environments.

• Eco-Design

  Eco-design is a structured design approach that incorporates environmental criteria throughout a product or system life cycle, enabling enterprises to meet functional requirements while managing resource use, emissions, and waste in line with regulatory obligations and sustainability objectives.

• Economic Security Framework

  Economic security framework is a structured approach used by states and large organizations to assess and manage economic vulnerabilities, systemic risks, and strategic dependencies, supporting policy, governance, and risk decisions across supply chains, critical infrastructure, and macrofinancial conditions.

• Economizer Cycle

  Economizer cycle is an HVAC or refrigeration control strategy that uses favorable outdoor air or refrigerant subcooling to reduce mechanical cooling energy and compressor runtime, supporting energy-efficient building, data center, and industrial cooling operations under specific temperature and humidity conditions.

• Economy

  Economy is the system of production, distribution, trade, and consumption of goods and services within a defined area, providing the macro context that frames enterprise revenue, costs, investment decisions, and technology architecture planning for data, cloud, and security platforms.

• EDA

  Event-driven architecture (EDA) is a software design approach in which systems exchange and react to discrete events via decoupled producers and consumers, supporting asynchronous communication that helps enterprises coordinate real-time processing across applications, data pipelines, and integration landscapes.

• Edge

  Edge computing is a distributed computing model that places processing, storage, and networking near data sources or end users to lower latency, limit backhaul traffic, support local autonomy, and meet data locality or connectivity constraints in enterprise environments.

• Edge AI Accelerator

  Edge AI accelerator refers to specialized hardware that runs AI and machine learning workloads directly on edge or endpoint devices. It matters in enterprise environments because it enables local inference with constrained power, latency, and connectivity, while supporting data locality and compliance needs.

• Edge AI Controller

  Edge AI controller is a component that runs AI inference and control logic near data sources in edge computing environments, enabling local decision-making, reduced data backhaul, and continued operation when connectivity to centralized cloud or data center resources is limited.

• Edge AI Deployment Framework

  Edge AI deployment framework is an integrated software and tooling environment that prepares, runs, and manages AI models on edge devices near data sources, enabling local inference, centralized governance, and consistent lifecycle management across distributed enterprise edge environments.

• Edge AI Federation Gateway

  Edge AI federation gateway is a control layer that manages secure coordination between distributed edge AI nodes and centralized or federated learning services, enabling governed model distribution, update aggregation, and policy enforcement across enterprise edge environments and infrastructure domains.

• Edge AI Integration

  Edge AI integration is the practice of embedding and coordinating artificial intelligence workloads with edge computing infrastructure so enterprises can run inference and analytics near data sources while aligning with latency, privacy, governance, and lifecycle management requirements.

• Edge Analytics

  Edge analytics is the processing and analysis of data on or near the devices where it is generated, enabling localized decisions, reduced bandwidth usage, and lower latency for enterprise systems that span industrial, IoT, and distributed computing environments.

• Edge Analytics Gateway

  Edge analytics gateway is a device or software node that performs data collection, preprocessing, and analytics near data sources, then forwards filtered results to central systems, helping enterprises manage bandwidth, latency, and data handling across distributed environments.

• Edge Application Container

  Edge application container is a containerized runtime unit that runs application components on edge computing nodes near data sources. It matters in enterprises because it extends cloud-native packaging, orchestration, security, and lifecycle management practices to distributed, latency-sensitive edge environments.

• Edge-Aware Routing

  Edge-aware routing is a network routing approach that selects paths based on awareness of edge sites, resources, and policies, enabling enterprises to steer traffic to appropriate edge or cloud locations for performance, locality, compliance, and workload placement objectives in distributed architectures.

• Edge Cloud Gateway

  Edge cloud gateway is a network and compute node at the network edge that connects edge devices and local applications to public or private clouds, enabling secure traffic termination, policy enforcement, and localized processing in distributed and hybrid architectures.

• Edge Compute Fabric

  Edge compute fabric is a distributed infrastructure layer that unifies and manages compute, storage, and networking resources at edge locations so enterprises can run governed, low-latency workloads near data sources within broader hybrid, distributed, or multi-access edge computing architectures.

• Edge Computing in Orbit

  Edge computing in orbit is a model where satellites or other space-based platforms host compute, storage, and analytics to process data in space near its source, reducing raw data downlink while integrating with terrestrial cloud and edge environments for enterprise use.

• Edge Computing Node

  Edge computing node is a compute and networking resource located near data sources or end users that processes data locally. It matters in enterprise contexts for latency-sensitive workloads, bandwidth optimization, data locality, and integration of operational and information technology environments.