NVIDIA

Cognizant, in collaboration with NVIDIA, has developed a specialized language model for healthcare. This finetuned model significantly enhances the accuracy of medical code extraction, reducing errors and improving overall efficiency. General models often misunderstand medical terms, causing errors in code extraction and resulting in financial and operational issues such as incorrect billing and delayed reimbursements. Developing a finetuned healthcare model using domain-specific data can improve accuracy. Trained on a comprehensive dataset of medical records, this model better understands and extracts medical codes accurately.

Cognizant’s Enterprise AI with multiskilled business AI agents offer end-to-end experience observability and engineering. The platform uses AI to provide multilingual conversations across channels, integrating datasets and systems for observability, correlation, diagnosis, integration and auto-remediation. It identifies knowledge gaps, offers intelligent recommendations and filters noise for effective root cause analysis. This results in real-time solutions, automated execution, a 30% increase in user productivity and a 45% boost in automation efficiency.

Cognizant, in collaboration with NVIDIA, has developed an industrial digital twin as a service, which offers simulations and performance improvements while simplifying the adoption of emerging technologies. Our solution enhances productivity in factories and warehouses through automation, real-time IoT systems and integrated IT-OT data platforms. We use collaborative labs and Omniverse to accelerate exploration of cutting-edge technologies to transform your operations, optimize productivity and create a more sustainable future.

Cognizant is leveraging NVIDIA's technology to enhance our IT services by integrating the full-stack NVIDIA-accelerated computing platform, including NVIDIA RAPIDS™, into our data modernization offerings. This collaboration aims to optimize enterprise cloud costs, enhance performance and help clients modernize their infrastructure to be AI-ready. By transitioning clients to GPU-based infrastructure, Cognizant is enabling faster data processing and substantial cost savings, laying the groundwork for implementing new generative AI use cases in critical business functions.

Cognizant offers secure, fully managed NVIDIA AI Enterprise infrastructure, ensuring your data is protected whether it resides in the cloud, data center or edge. Experience seamless integration and run models where they are most effective and efficient.

Discover the cutting-edge reimagining of traditional CPU-based customer premise equipment (CPE) with the first-ever reference design kit (RDK) stack on NVIDIA’s GPU-powered Jetson Orin Nano™ Development Kit. Leveraging Cognizant’s expertise in device engineering, AI and generative AI technologies, we introduce AI-native CPEs. These devices are designed to efficiently handle edge workloads and are set to become part of operators’ next generation device fleets, enabling an AI-driven future for connected living. AI-native CPEs provide flexibility, scalability and resiliency by combining accelerated computing, network capabilities and edge intelligence.