Our suite of Nia solutions comprises of Advanced Machine Learning, Contract Analysis and Chatbot capabilities. These solutions help solve specific industry problems by leveraging the power of AI and without exposing its underlying complexities. Not only does it make AI more adaptable and viable for the organizations by providing point solutions for their current business problems but also makes them future proof.
Infosys Nia Advanced Machine Learning increases data scientists’ productivity by orders of magnitude by applying automation to the data science workflow. It offers a broad range of machine learning algorithms with industry-leading speed and scale. Typically, enterprises tend to have skilled information and data analytics. By simplifying several activities, this platform allows data analysts, developers, and even business users with limited knowledge of data science to build accurate and high-performing ML models.
Nia Contracts Analysis leverages ML, Semantic Modelling, and Deep Learning to transform the process of analyzing and reviewing contracts. Advances in Artificial Intelligence (AI), Machine Learning (ML), and automation technologies provide the opportunity to streamline the contract reviewing process, safeguard the interests of business partners, increase productivity, reduce costs, and mitigate risks. The application creates a representation of each word and then captures the relationships between them, their context, and ultimately knowledge.
Intelligent chatbots can be used to provide on-demand access to enterprise knowledge for customers by interfacing with the enterprise knowledge repository and to automate actions through the conversational interface – voice or chat. Chatbot help engage with customers better and reduce the cost of customer support operations with conversational interfaces.
AI and Data Science the ability to scale and accelerate data engineering and data science disciplines is a key while achieving organizational goals on overall business transformation.
Download this whitepaper to know how Computer Vision technologies can overcome the limitations of OCR. They can be used effectively in content extraction from images to identify and demarcate...
Early views into Automation and AI Adoption in the Life Sciences and Healthcare today