Enterprise Technology Terminology

5,405 results · page 149 of 271

• Mission Orchestrator

  Mission orchestrator is a control layer that coordinates tasks and workflows across systems and services. It matters in enterprise environments because it provides structured execution, visibility, and governance for complex operational processes.

• Mitigation Plan

  Mitigation plan is a documented set of risk treatment actions, responsibilities, and timelines that an enterprise defines to reduce the likelihood or impact of identified risks or vulnerabilities to an acceptable level, supporting governance, compliance, and operational resilience objectives.

• MIT License

  MIT License is a permissive open-source software license that allows organizations to use, modify, and redistribute code with few conditions, while requiring preservation of copyright and license notices and providing explicit warranty and liability disclaimers relevant to enterprise governance.

• MITRE ATT&CK

  MITRE ATT&CK is a curated, publicly available framework that catalogs real-world adversary tactics, techniques, and procedures, enabling enterprises to describe, analyze, and map cyberattack behavior in a consistent way to support threat-informed defense, detection engineering, and security operations planning.

• Mixed Air Plenum

  Mixed air plenum is an enclosed zone within an air-handling unit where outdoor air and return air combine and mix before treatment. It matters in enterprise facilities because it affects ventilation control, energy consumption, reliability, and compliance with indoor air quality standards.

• Mixed Precision Strategy

  Mixed precision strategy is an approach to numerical computation that uses multiple floating-point precisions within a workload to improve performance and resource efficiency while preserving required accuracy, which enterprises apply in AI, high-performance computing, and large-scale data analytics environments.

• Mixed Precision Training

  Mixed precision training is a deep learning technique that uses both low precision and single precision floating point formats in one training workflow to reduce memory use and training time while maintaining accuracy, which matters for enterprise-scale AI workloads and infrastructure planning.

• Mixed Reality

  Mixed reality is an extended reality technology that blends digital content with the physical environment in real time, enabling spatially aligned, interactive holograms. It matters in enterprise contexts for workflows such as training, guided operations, design review, and remote collaboration.

• Mixed-State Qubit

  Mixed-state qubit is a quantum bit described by a density matrix that represents a probabilistic ensemble of pure states under noise and decoherence. It matters in enterprise contexts because realistic quantum hardware, error correction, and security analyses all model qubits as mixed states.

• Mixture of Experts

  Mixture of experts is a neural network architecture that uses multiple specialized expert submodels and a gating mechanism to route inputs among them, enabling higher model capacity and specialization per task while constraining compute and infrastructure cost in enterprise deployments.

• Mobile Backhaul

  Mobile backhaul is the transport segment that carries aggregated traffic between cellular base stations and mobile core or edge networks over fiber, microwave, or other links, and it matters because it constrains mobile network performance, capacity planning, and service quality.

• Mobile Edge

  Mobile edge is a distributed computing approach that places compute and storage near mobile network infrastructure so applications process data closer to users and devices, which supports low-latency services, localized processing, and integration with broader cloud and 5G architectures for enterprises.

• Mobile Edge Computing

  Mobile edge computing is a distributed computing architecture that places compute and storage at mobile network edges so enterprises and operators can run latency-sensitive, localized applications near users while coordinating with centralized cores and clouds for broader connectivity and management.

• Mobile Edge Node

  Mobile edge node is a network-edge compute and storage resource deployed inside mobile or wireless infrastructure that runs applications and network functions close to end users, enabling lower latency, localized processing, and reduced backhaul usage for enterprise and operator workloads.

• Mobile Network Operators

  Mobile network operators are licensed telecommunications providers that own and run public mobile networks, supplying voice, messaging, and data services over licensed spectrum. They matter to enterprises as foundational providers of mobile connectivity, IoT access, secure remote access, and integrated network services.

• Mobile Virtual Network Operator

  Mobile virtual network operator is a mobile service provider that delivers branded voice, messaging, and data services without owning radio access network infrastructure, instead using wholesale capacity from licensed mobile operators for flexible commercial models in consumer, enterprise, and IoT connectivity.

• Mobility-as-a-Service

  Mobility-as-a-Service (MaaS) is a digital service model that unifies multiple transport modes into one platform for journey planning, booking, ticketing, and payment, which matters in enterprise and public-sector contexts for integrated mobility management, budgeting, and data-driven transport governance.

• Mobility-as-a-Service (MaaS) Hub

  Mobility-as-a-Service (MaaS) hub is an integration platform that unifies public and private transport services, data, and payments into one access point, supporting multimodal trip planning, booking, and account management for transport authorities, operators, and enterprise stakeholders.

• Modbus Protocol

  Modbus protocol is an open industrial communication protocol used in automation and building systems to exchange data between controllers, sensors, actuators, and supervisory platforms, relevant for interoperability, legacy system support, and security governance in operational technology and industrial IoT environments.

• Model Artifact

  Model artifact is a stored representation of a trained machine learning or AI model, including its parameters and metadata, that enterprises use as the deployable, governable unit for versioning, serving, auditing, and managing models across environments and tooling.