The impressive AI demo is dead. Here’s what actually reaches production

Engineering teams often struggle to move AI demos to production due to various challenges. This article highlights the gap between demo and production-ready AI systems. To bridge this gap, teams need to focus on scalability, maintainability, and reliability. This requires a more thorough approach to AI development, beyond just building a working prototype. Teams should prioritize these factors to ensure successful production deployment.