Enterprise Technology Terminology: G
120 results · page 4 of 6
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Goal Prioritization Engine
Goal prioritization engine is a software mechanism that ranks and selects goals according to defined criteria, constraints, and preferences, enabling consistent, auditable decision-making across enterprise planning, automation, and governance workflows.
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golden configuration
Golden configuration is an approved, version-controlled baseline of system or device settings that enterprises use to standardize security, compliance, and operations, enabling repeatable deployments, reduced misconfiguration risk, and easier auditing across servers, endpoints, network equipment, and cloud or virtualized environments.
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Golden Configuration Template
Golden configuration template is a predefined, version-controlled baseline configuration that encodes an organization’s approved technical and security settings for repeated use, enabling consistent deployments, reduced configuration drift, and support for policy, compliance, and audit requirements in enterprise environments.
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google cloud compliance automation
Google Cloud compliance automation is the use of Google Cloud Platform services to automatically apply, monitor, and validate regulatory and internal policy controls across cloud resources, helping enterprises standardize governance, reduce manual checks, and maintain audit-ready evidence for their Google Cloud environments.
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google cloud platform automation
Google Cloud Platform automation is the programmatic management of Google Cloud resources using native tools, APIs, and workflows to provision, configure, and operate environments in a repeatable, policy-controlled manner, supporting DevOps practices, governance requirements, and large-scale enterprise cloud operations.
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Governance Charter
Governance charter is a formal document that defines the authority, scope, structure, and operating procedures of a governance body in an enterprise, providing clear decision rights, accountability, and alignment with policies, regulatory obligations, and organizational objectives.
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Governance Dashboard
Governance dashboard is a digital interface that consolidates and visualizes governance, risk, compliance, and policy-related data into structured metrics and indicators, enabling organizations to monitor control performance, document oversight, and support executive and audit reporting in enterprise technology and data environments.
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Governance Framework
Governance framework is a structured set of principles, policies, roles, and processes that organizations use to direct, control, and monitor activities so they align with stated objectives, risk tolerances, and regulatory requirements in enterprise, technology, and security contexts.
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Governance Model
Governance model is a formal framework that defines how an organization allocates authority, decision rights, and accountability, providing structured oversight of performance, risk, and compliance for enterprise operations, including technology, security, and data management contexts.
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Governance Policy
Governance policy is a documented set of principles, rules, and decision-making directives that define authority, accountability, and control across an organization’s processes, information, and technology, providing a basis for consistent risk management, compliance, and alignment between business strategy and operational practices.
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Governance, Risk, and Compliance
Governance, risk, and compliance (GRC) is an integrated management discipline that connects governance structures, risk management, and compliance activities so enterprises can align policies, controls, and assurance processes with objectives, regulatory requirements, and documented risk tolerances.
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Government
Government is the system of public institutions, laws, and procedures through which a state or public authority exercises power, creates and enforces rules, and manages public affairs, forming the legal and regulatory environment in which enterprises design and operate technology systems.
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Government Cloud
Government cloud is a cloud deployment model designed for government and public-sector workloads, with environments, controls, and certifications that align with jurisdiction-specific security, privacy, residency, and procurement requirements, informing how agencies architect, classify, and place regulated data and applications.
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GPU Acceleration
GPU acceleration is the use of graphics processing units to offload and parallelize compute-intensive tasks from CPUs, enabling enterprises to run high-performance workloads such as AI, analytics and media processing within practical performance, capacity planning and cost constraints.
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GPU Cluster
GPU cluster is a coordinated group of GPU-equipped servers presented as a single compute resource for parallel workloads. It matters in enterprise environments because it enables centralized, high-throughput processing for machine learning, high performance computing, and data-intensive applications under shared governance and control.
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GPU-CPU Coherence
GPU-CPU coherence is the property of a system in which GPUs and CPUs maintain a consistent view of shared memory through cache-coherence mechanisms, which matters in enterprises because it affects performance, data-movement overhead, and software design in GPU-accelerated workloads.
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GPU–CPU Coherence
GPU–CPU coherence is a computer architecture capability that maintains a consistent shared-memory view between GPUs and CPUs, which matters in enterprise environments because it reduces data copying, simplifies heterogeneous programming, and affects performance and design choices for AI, analytics, and HPC platforms.
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GPU Scheduling Framework
GPU scheduling framework is a software or system-level mechanism that manages how multiple workloads share GPU resources in enterprise and cloud environments, enabling controlled allocation, prioritization, and isolation of GPU capacity for AI, analytics, and high-performance computing workloads.
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GPU Virtualization
GPU virtualization is a hardware and software capability that lets multiple virtual machines, containers, or processes share physical GPUs with controlled allocation and isolation, enabling centralized, policy-based use of GPU compute in virtual desktop, cloud, and data center environments.
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Gradient Accumulation
Gradient accumulation is a deep learning training technique that aggregates gradients across multiple mini-batches before updating model parameters, enabling the use of larger effective batch sizes on constrained hardware and supporting enterprise training efficiency, scalability planning, and resource utilization control.