AI Deployment
AI deployment is the process of putting artificial intelligence (AI) models or solutions into a real-world production environment where they can be accessed and used by end users or systems. It involves integrating the AI model into business workflows, ensuring it operates reliably at scale and monitoring its performance over time. AI deployment includes steps such as testing, infrastructure setup, application programming interface integration, security and compliance. The goal is to move from development to live use, delivering value through automation, insights or decision support in actual business operations.
Related Terms
- AI Consultants
- AI Data Preparation
- Fine-tuning AI
- AI Development
- Adaptive AI
- AI Ethics
- AI Orchestration
- Small Language Model (SLM)
- Agent Collaboration Tools
- Business Model
- Hybrid AI
- Recurrent Neural Network
- Data Management Platform
- Diffusion Models
- Decision Intelligence
- AI Solution
- Recommendation System
- AI Opportunities
- AI Enablement