AI model deployment is the process of integrating machine learning models into production environments to make real-time predictions and decisions. This stage is crucial for transforming theoretical models into practical applications that drive business value. Organizations need to ensure that their deployed models are scalable, efficient, and continuously monitored for performance. Effective deployment involves considerations such as model versioning, data management, and integration with existing systems. By successfully deploying AI models, businesses can enhance their decision-making processes, automate workflows, and deliver personalized customer experiences, ultimately leading to greater competitiveness in the market.