This may well be the year of AI. Artificial Intelligence has percolated into key business processes. And many of the best solutions have come from Indian engineers and are addressing a global demand. Last week saw the launch of two such 'Made in India—for the world' solutions, one from Infosys, the other from Xavient, a US-based, Indian talent-driven company.
"Nia" will help businesses tackle unpredictability in manufacturing and materials costs
India-led global leader in consulting, technology, outsourcing and next-generation services,Infosys, has launched a next-generation Artificial Intelligence Platform—Nia—building on the success of the Company’s first-generation AI platform, Infosys Mana, and its Robotic Process Automation (RPA) solution, AssistEdge.
Together, both these products have attracted over 50 clients and 150-plus engagements across all industry sectors, within a year of operations.
Now Infosys has converged the big data/analytics, machine learning, knowledge management, and cognitive automation capabilities of Mana; the end-to-end RPA capabilities of AssistEdge; advanced and scalable machine learning capabilities of Skytree; optical character recognition (OCR), natural language processing (NLP) capabilities and infrastructure management services—to create Nia. As a flexible and modular platform, it enables a wide set of industry solutions and allows customers to build custom experiences to suit their business needs.
While Infosys’ first-generation AI platform was about IT, simplification, efficiency and cost, the next generation platform, 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.
Nia can help clients solve a wide variety of business problems. Here are a few:
- 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).
- Predict variability in manufacturing and material cost, while also reducing product development cycle times.
- Create knowledge models of multiple, complex labour contracts with an on-demand, self-service conversational interface.
- Create a customer genome based on internal and external data sources to offer personalized solutions, and improve customer satisfaction.
Says Infosys CEO Vishal Sikka: "When we launched our knowledge-based AI platform Mana one year ago, we set out on our path of bringing knowledge, data and automation, together with our services to our clients as never before. 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. 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. Nia, the next generation of our AI platform now takes our purposeful approach to AI, one in which technology serves to amplify people and empowers them to work in new ways, to new heights.”
Xavient Launches an AI-powered platform, AMPLIFY, to increase call centre productivity
Leading global provider of Digital IT Solutions & Services, Xavient Information Systems, has launched, AMPLIFY, an AI-powered Analytics Platform to augment customer experience in major enterprises. The tool is hosted on Amazon Web Services' cloud, and is architected on Open Source technologies. AMPLIFY was developed in the company's AI Lab. The California-based company founded and led by persons of Indian origin, has about 80 per cent of its 3,000 plus employees based in Noida and Bangalore in India
The key component is its high accuracy speech to text conversion, converting customer interactions aggregated from various channels into intelligent patterns, issues and recommended actions.
This leads to increased productivity in call centres and proactive outreach to dissatisfied customers.
Their solutions vary based on the customers’ needs and include: scheduling a field technician, dynamically improving troubleshooting techniques, and even suggesting alternative or additional products and services, wherever appropriate.
Says Saif Ahmad, President of Xavient Information Systems. "AMPLIFY's deep learning analytics engine helps companies significantly improve its Customer 'empathy' with a reliable probability model that exceeds the ability of any single customer service representative. Because we use machine learning-based algorithms, it continuously learns from call centre& other Customer interaction channels, and improves the outcomes exponentially with that experience."
Xavient's AMPLIFY was developed in the company's AI Lab features the ability to interpret a diverse vocabulary, and is more human-like in its ability to understand and interpret data.
