Enterprise Technology Terminology

5,405 results · page 143 of 271

• Massive Machine-Type Communication

  Massive machine-type communication is a 5G service category defined by 3GPP for connecting very high densities of low-power devices that send small, often infrequent data payloads with limited human interaction, used for large-scale telemetry and monitoring in enterprise environments.

• Massive MIMO

  Massive MIMO is a wireless communication technology in 4G and 5G networks that uses base stations with large antenna arrays and advanced beamforming to serve many devices simultaneously, improving spectral efficiency, capacity, and reliability for enterprise connectivity scenarios.

• Massive MIMO Testbed

  Massive MIMO testbed is a controlled hardware and software platform that implements large multi-antenna wireless systems, enabling enterprises and operators to prototype, measure, and validate Massive MIMO algorithms, architectures, and deployments under realistic radio conditions before production rollout.

• Massive Multitask Language Understanding

  Massive Multitask Language Understanding is a standardized benchmark that assesses language models on multiple-choice questions across many academic and professional domains, providing enterprises and researchers with a comparable measure of models’ broad knowledge coverage and general-purpose reasoning capabilities for evaluation and selection.

• Master Data Management

  Master data management is an enterprise discipline and technology stack for defining, governing, and synchronizing core business entities across systems, enabling consistent analytics, compliance, and operations by maintaining authoritative, high-quality master records for customers, products, suppliers, locations, and other shared data.

• Material Circularity Indicator

  Material Circularity Indicator (MCI) is a quantitative metric that scores how circular a product’s material flows are over its lifecycle, enabling enterprises to measure, compare, and manage circular design, sourcing, and end-of-life strategies in sustainability and ESG programs.

• Material Handling Robot

  Material handling robot is an industrial or logistics robot that performs automated transport, picking, placing, palletizing, or other handling of materials and goods inside manufacturing, warehouse, or distribution environments, and matters because it connects physical material flow with digital control and management systems.

• Materialized View

  Materialized view is a database object that stores precomputed query results on disk and refreshes them under defined policies, enabling lower-latency and lower-overhead access to recurring analytical queries in enterprise data warehouses, lakehouses, and large-scale reporting environments.

• Material Recovery Facility

  Material recovery facility is an industrial plant that receives mixed recyclable materials, mechanically and manually separates them into sorted commodity streams, and prepares them for sale to recycling and manufacturing markets, supporting waste diversion targets and resource recovery objectives for enterprises and municipalities.

• Material Science Simulation

  Material science simulation is the use of computational models and numerical methods to predict material properties and behavior across different length scales, enabling enterprises to evaluate material choices, reliability, and performance in support of engineering design, qualification, and lifecycle decision-making.

• Material Traceability

  Material traceability is the documented capability to track materials and components across their lifecycle, from origin through manufacturing and distribution to end-of-life, using persistent identifiers and verifiable records to support regulatory compliance, quality management, recall execution, and supply chain risk analysis.

• McEliece Cryptosystem

  McEliece cryptosystem is a code-based public-key encryption scheme that relies on the hardness of decoding linear error-correcting codes and is evaluated in post-quantum cryptography programs for securing long-lived data and key establishment in enterprise environments.

• MCP security

  MCP security is the set of controls, processes, and safeguards that govern how the Model Context Protocol accesses tools and data, ensuring authenticated, authorized, and auditable interactions so enterprises can align MCP-based assistants and automations with security and compliance requirements.

• Mean Time Between Failures

  Mean time between failures is a reliability metric for repairable systems that expresses average operating time between failures. It matters in enterprise environments because it supports availability modeling, maintenance planning, and risk and lifecycle decisions for critical technology infrastructure.

• Mean Time To Detect

  Mean Time To Detect (MTTD) is a reliability and security metric that quantifies the average time between the start of an incident or failure and its detection, enabling enterprises to evaluate monitoring and security detection effectiveness over time.

• Mean Time To Repair

  Mean Time To Repair (MTTR) is a reliability metric that reports the average time required to diagnose, fix, and restore failed systems or services. It matters in enterprises because lower MTTR reduces outage duration and supports availability, resilience, and service commitments.

• Measurement Automation Framework

  Measurement Automation Framework is a software framework for automating test and measurement workflows, used to control instruments, run repeatable test sequences, capture measurement data, and generate structured results that support engineering quality, validation, and production test processes in enterprises.

• Measurement-Based Quantum Computing

  Measurement-based quantum computing is a quantum computation model that executes algorithms through measurements on a pre-prepared entangled resource state, which matters for enterprises evaluating quantum hardware architectures, algorithm feasibility, and long-term security planning related to scalable quantum capabilities.

• Measurement-Device-Independent QKD

  Measurement-device-independent quantum key distribution (MDI-QKD) is a quantum key distribution protocol in which two end users send quantum states to an untrusted measurement node, removing trust in detection devices while still establishing information-theoretic secure keys for enterprise cryptographic systems.

• Measurement Uncertainty Model

  Measurement uncertainty model is a formal framework that quantifies how different sources of error and variability contribute to the uncertainty of a measurement result, enabling enterprises to document reliability, support compliance, and make traceable, risk-aware decisions based on measured data.