COGNITIVE MICROSERVICES FRAMEWORK
Repository for machine learning and deep learning powered use cases and algorithms
With the increase in the demand and applications of machine learning and data science in various industries, it becomes critical to build solutions at scale and on demand. Mphasis’ Cognitive Microservices framework is a cloud-based repository of containerized microservices that is self-sufficient and provides access to several machine learning (ML) / deep learning (DL) based industry use cases and algorithms. Various functions are bundled in decentralized modules and organized around specific business capability. It allows developers to focus on feature enhancements and not algorithm development hence reducing the time, cost, effort, and complexity to go from data to insights. These ML algorithms are made available through a well-defined, easy to use interface, that allows the user to directly feed data, run the algorithms, and get instant results. This drastically reduces the production cycle times thus translating into a critical delivery accelerator.
Allows Users to Focus on Feature Enhancements and Not Algorithm Development
Reduces Time, Cost, Effort, and Complexity to Transform Data to Insights