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AI Glossary

AI Deployment

The process of making AI models available for use in production environments with appropriate controls.

TL;DR

  • —The process of making AI models available for use in production environments with appropriate controls.
  • —Understanding AI Deployment is critical for effective AI for companies.
  • —Remova helps companies implement this technology safely.

In Depth

AI deployment in enterprise settings involves selecting models, configuring access controls, setting up guardrails, establishing budgets, training users, and monitoring usage. Deployment can be cloud-hosted, on-premises, or hybrid depending on security requirements.

Related Terms

On-Premises AI

AI deployment where all infrastructure, models, and data processing occur within an organization's own facilities.

Enterprise AI

The strategic deployment of AI systems within large organizations with appropriate governance and security.

AI Governance

The framework of policies, processes, and controls that guide responsible AI development and usage within organizations.

Model Endpoint

An API URL where AI model inference requests are sent and responses received.

Knowledge Hub

Glossary FAQs

AI Deployment is a fundamental concept in the AI for companies landscape because it directly impacts how organizations manage the process of making ai models available for use in production environments with appropriate controls.. Understanding this is crucial for maintaining AI security and compliance.
Remova's platform is built to natively manage and optimize AI Deployment through our integrated governance layer, ensuring that your organization benefits from this technology while mitigating its inherent risks.
You can explore our full AI for companies glossary, which includes detailed definitions for related concepts like On-Premises AI and Enterprise AI.

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