Even if applications and data sources are connected, they don’t necessarily interoperate; they must also be integrated semantically. Often, data and functions have similar names but different meanings. Manual processes for design require intensive investigation and analysis.
Goals and Objectives
Provide standard solutions for semantic integration across application data, APIs, and functions to enable applications to work together seamlessly.
Traditional technologies including EAI, microservices and API, ETL, enterprise service bus; cognitive intelligence technologies for data science
Use Case Summary
Seamless integration of application functions and information creates business and customer value where the “whole is greater than the sum of the parts,” thereby enabling improved efficiency.