Abstract: The present invention provides systems, methods, and computer program products for a novel system using machine learning and artificially intelligent neural networks to generate, manage, and store data, and also intelligently and effectively manage the routing of data between one or more nodes within a distributed register environment in a dynamic fashion. The invention provides a computer-based system for executing read and write operations between applications involving distributed registers, but is not specifically limited to such embodiments.

Abstract: During a software development lifecycle of a software application, application code is modified and multiple versions are built and packaged to be installed on different computing systems, such as on a software development computing system, a software testing computing systems, and/or production or end-user computing systems. A runtime error optimization engine analyzes, using a first artificial intelligence model, a build package to predict whether it may encounter runtime errors causing an installation to fail. When an error is identified, a runtime error orchestration engine may utilize a second artificial intelligence model to identify a solution, where the runtime error orchestration engine rebuilds the build package based on an identified solution and initiates installation via a deployment pipeline.

Abstract: The present invention provides systems, methods, and computer program products for a novel system using machine learning and artificially intelligent neural networks to generate, manage, and store data, and also intelligently and effectively manage the routing of data between one or more nodes within a distributed register environment in a dynamic fashion. The invention provides a computer-based system for executing read and write operations between applications involving distributed registers, but is not specifically limited to such embodiments.