Achieving Scalable and Secure Systems: The Confluence of ML, AI, Iot, Block-chain, and Software Engineering

Abstract

The combination of ML, AI, IoT, blockchain, and software engineering is examined in this article as a major force behind technological innovation and change. It addresses the advantages and difficulties of this convergence for a variety of industries, including healthcare. This study is going to shed a lot of light on many security challenges and also conflict of interest problems due to the divergence of the different aspects of the technology and suggest engineering philosophy that can ensure harmony be-tween the conflicting areas. One of the objectives factors the researcher with the extensive overview of the way these joint technologies are influencing the direction of the evolution towards the scalable secure systems and this will be the result of the unification of all the known technologies. but to secure is not a very simple mission while using any kind of the technologies.