Infosys launches Infosys Nia, a next gen Integrated Artificial Intelligence Platform
Together, both these products have amassed 50+ clients and 150+ engagements across all industry sectors, within a year of operations.
Infosys Nia converges the big data/analytics, machine learning, knowledge management, and cognitive automation capabilities of Mana; end-to-end RPA capabilities of AssistEdge; advanced, high-performance and scalable machine learning capabilities of Skytree; and optical character recognition (OCR), natural language processing (NLP) capabilities and infrastructure management services.
As a unified, flexible, and modular platform, Infosys Nia enables a wide set of industry and function-specific solutions and allows customers to build custom experiences to suit their business needs.
Infosys’ first-generation AI platform was about IT, simplification, efficiency and cost. Capabilities included socialization of organizational knowledge, deep analytics, service automation, automated incident root cause analysis and others. The next generation platform, Infosys Nia, tackles break-through business problems such as forecasting revenues, forecasting what products need to be built, understanding customer behavior, deeply understanding the content of contracts and legal documents, understanding compliance, and fraud.
Infosys Nia can help clients solve a wide variety of business problems, a few of which are listed below:
· Infosys Nia can improve order-to-cash process by creating a real-time risk profile to customize the collection strategy, expedite resolution of disputes, predict anomalies, prevent disputes, and enable better visibility and forecasting of cash flow to reduce days sales outstanding (DSO).
· Infosys Nia can predict variability in manufacturing and material cost, while also reducing product development cycle times.
· Infosys Nia can create knowledge models of multiple, complex labor contracts with an on-demand, self-service conversational interface to operationalize the knowledge.
· Infosys Nia can create a customer genome based on internal and external data sources to help develop targeted messaging, accurately identify upselling and cross-selling opportunities, offer personalized solutions, and improve customer satisfaction.