Model development and Model deployment are the two fundamental components of an analytics life-cycle. Although various deployment options are available nowadays like serverless, containers, servers and on-device, but developers are often constrained by specific framework or programming language as governed by their firm's deployment infrastructure. This talk will focus on the emergence of various Model Exchange Formats which are democratizing the process of model development by allowing devs to choose the suitable framework for their model development process without the pangs of deployment infrastructure.