The use of AI and machine intelligence in the industry is burgeoning, but also present problems for someone trying to select an appropriate framework to deploy the system in a production context. This session will be covering some of the choices available to the AI/Data scientist and how different Frameworks are good for its intended use cases. Finally, I will outline the key elements needed in a framework that should cater to enterprise demands of accuracy, scalability, and maintainability
