Infosys Nia

Infosys Nia is a knowledge-based AI platform. It brings machine learning together with the deep knowledge of an organization to drive automation and innovation. This enables businesses to continuously reinvent their system landscapes. Nia, with the Infosys AiKiDo service offerings, dramatically lowers the cost of maintenance for both physical and digital assets. It captures the knowledge and know-how of people across fragmented and complex systems, and simplifies the continuous renovation of core business processes. Nia also enables businesses to bring new, delightful user experiences leveraging state-of-the-art technology.The Infosys Nia platform is part of the Infosys Aikido framework that helps companies undertake non-disruptive transformation of their existing landscapes. This includes capturing the knowledge within legacy systems to renew, accelerate and enable them to bring entirely new experiences, delivering open, intelligent platforms that bring transformation – new kinds of applications, software tools, unprecedented levels of data processing, a radical new cost performance as well as design-led services which bring a Design Thinking approach that starts with a deep understanding of a client’s business and IT objectives, its users and customers, to find their most critical problems and biggest opportunities. Infosys Nia’s Information Platform is an open source data analytics platform that enables businesses to operationalize their data assets and uncover new opportunities for rapid innovation and growth. It is a platform that continuously learns routing logic, resolution processes and diagnosis logic to build a knowledge-base that grows and adapts to changes in the underlying systems. Its Knowledge Platform captures, formalizes and process knowledge and its representation in a powerful ontology based structure that allows for the reuse of knowledge as underlying systems change.

Infosys Nia

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More Information on Predictive Analysis Process

Predictive Analytics Process Flow

For more information of predictive analytics process, please review the overview of each components in the predictive analytics process: data collection (data mining), data analysis, statistical analysis, predictive modeling and predictive model deployment.