Infosys Launches New Artificial Intelligence Platform

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Infosys Nia integrates big data analytics, machine learning, knowledge management, and cognitive automation capabilities of Mana.

Infosys Nia, the company’s new artificial intelligence platform, is designed to help businesses forecast revenues, understand customer behavior, predict fraud, ensure compliance, and other business problems.

The new platform builds on the company’s previous AI platform, Infosys Mana, and its Robotic Process Automation (RPA) platform, AssistEdge.

“We have seen tremendous adoption, and indeed, a massive embrace of Mana by our clients, particularly in leveraging Mana to improve service delivery and drive efficiencies and cost performance through automation,” said Dr. Vishal Sikka, CEO of Infosys, in a press release.

“But we could clearly see that there was much more potential, an unlimited potential, in bringing AI to our clients’ most sophisticated and complex business problems, as they work toward a vision of bringing technology to every aspect of their businesses.”

Infosys Nia combines the big data, analytics, machine learning and cognitive automation capabilities of Mana with the end-to-end RPA capabilities of AssistEdge. It also includes the machine learning capabilities of Skytree as well as optical character recognition (OCR), natural language processing, and infrastructure management services, the company stated. 

According to the company’s release, InfoSys Nia has these capabilities:

  • Can improve order-to-cash processes by creating a real-time risk profile to customize  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).
  • Can predict variability in manufacturing and materials cost, while also reducing product development cycle times. (Learn more: Analytics use cases in manufacturing).
  • 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.

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Use cases: Customer experience management

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Sue Walsh

About Sue Walsh

Sue Walsh is News Writer for RTInsights, and a freelance writer and social media manager living in New York City. Her specialties include tech, security and e-commerce. You can follow her on Twitter at @girlfridaygeek.

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