Wipro Limited, a technology services and consulting company, has declared new initiatives leveraging NVIDIA’s AI stack to help clients in healthcare, communications, financial services and other industries implement AI-driven business strategies. Through the use of NVIDIA AI Enterprise and Omniverse, Wipro aims to expand into digital manufacturing and digital twin technologies to bring tailored AI solutions to its global client base.
Wipro’s partnership with NVIDIA involves the integration of NVIDIA’s AI stack into its services to facilitate faster adoption of AI technologies by enterprises. Key elements of this collaboration include pre-built templates designed to streamline processes in areas such as document processing, customer service, claims processing and drug discovery. These templates are constructed with NVIDIA NIM Agent Blueprints and are intended to reduce the time needed for deployment, delivering business value more quickly to clients.
Through its WeGA (Wipro Enterprise Generative AI) Studio, Wipro employs NVIDIA AI Enterprise software, including the NVIDIA NIM Agent Blueprints and NVIDIA NeMo, to provide clients with generative AI applications. Wipro’s AI applications are designed to support diverse needs in customer service, healthcare, supply chain management, finance and HR. For instance, Wipro’s integration of NVIDIA's NIM Agent Blueprint for customer service enables the creation of virtual assistants that can function either in the cloud or on-premises to improve response times and customer satisfaction.
In the healthcare sector, Wipro aims to optimise productivity in claims adjudication and improve patient experience by integrating NVIDIA-powered AI solutions. These solutions address services under the Affordable Care Act (ACA), Medicare and Medicaid, and also focus on increasing member enrolment.
Wipro’s AI-powered virtual assistants are underpinned by responsible AI principles that emphasise transparency, data privacy, accuracy and security. This is a response to data privacy regulations that affect deployment environments, whether on-premises or cloud-based.