In the rapidly evolving landscape of artificial intelligence and machine learning, organizations continue to seek cost-effective solutions to reduce reliance on expensive third-party tools—not only for development but also for deployment. Recently I was tasked with deploying a predictive machine learning (ML) model at my organization. Our original goal was to bring the ML model in-house to reduce operational costs, but the deployment process presented significant challenges due to expensive...
