New York: Mphasis, an Information Technology solutions provider specializing in cloud and cognitive services, today announced that it has been awarded a US patent for its AI driven application and infrastructure management solution. The newly issued patent provides a solution for enterprises worldwide to optimize their technology investments through in-depth data analysis.
The solution predicts errors and failures of applications and infrastructure and enables preventive maintenance measures. The powerful machine learning, complex systems analysis and graph theory-based algorithms identifies and predicts stand-alone as well as chain of events and incidents which lead to failure in technology infrastructure.
The US patent ed solution by Mphasis provides early warning systems and near to real-time device failures prediction using pattern recognition, network evolution and machine learning and identifies interdependencies, cascading a well as ripple effect between components.
The complex systems-based modeling solves problems arising from direct and indirect factors affecting infrastructures and enables automation of repeatable tasks with respect to monitoring and resolution.
The core functionalities of the solution include Complex Interdependency Analytics to identify error dependencies between components, Root Cause Analysis to identify the reason for breakdown and take corrective actions at the earliest, Storage/ Capacity Management to predict the demand and make recommendations as to when enterprises need to go on cloud or extend or reduce the virtual capacity and Incident Management through ticket and resource prediction, analysis, and resolution.