- Infosys announces the launch of Nia, its next-generation AI platform, designed to boost its tech services
Infosys announces the launch of Nia, its next-generation AI platform, designed to boost its tech services
Nia combines the capabilities of both Infosys Mana and Infosys AssistEdge along with a host of other functionalities, making it an all-in-one business solution.
After the massive success of Mana, its first-generation Artificial Intelligence (AI) platform, and AssistEdge, its Robotic Process Automation (RPA) solution, Indian technology services & consulting firm Infosys introduced its next-generation AI Platform, Infosys Nia, on Thursday, April 27, stating that it was to be available for businesses from then.
Nia is designed to be an all-in-one platform, bringing together Mana’s machine learning, knowledge management, big data/analytics, and cognitive automation capabilities, AssistEdge’s end-to-end RPA capabilities, and Skytree’s high-performance and scalable machine learning capabilities, along with optical character recognition (OCR), natural language processing (NLP) capabilities and infrastructure management services.
Vishal Sikka, Chief Executive Officer at Infosys, said that Nia has been built to take a committed approach to AI, where technology can augment the capabilities of human beings and enable them to work in completely new ways, and grow further. With Infosys’s considerable expertise in providing education and training in AI techniques and emerging technologies, Nia now gives it the platform, services, and skills to provide unparalleled value to its customers and clients.
The platform solves a wide number of business problems, carrying out tasks like forecasting revenues and predicting the products which need to be built, as well as understanding the behaviour of customers, the content of contracts, legal documents, fraud, and compliance. In addition to that, Nia can also create a real-time risk profile to build a tailor-made collection strategy, accelerate problem-solving, predict irregularities, prevent errors, and improve the visibility and prediction of cash flow to reduce days sales outstanding (DSO), thereby, massively improving the order-to-cash process.
Apart from this, the AI platform, which is available to be ordered straight away, can also forecast the changes in manufacturing and material cost, simultaneously lowering the time taken for each product development cycle.
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