Cognizant to Deploy Neuro AI Platform to Accelerate Enterprise AI Adoption in Collaboration with NVIDIA

Core Insights - Cognizant is advancing its AI solutions in collaboration with NVIDIA, focusing on five key growth areas: enterprise AI agents, industry-specific large language models (LLMs), digital twins for smart manufacturing, foundational AI infrastructure, and integration capabilities through Cognizant's Neuro® AI platform [1][2][3] Group 1: AI Solutions and Offerings - Cognizant aims to help global clients efficiently scale AI value by leveraging its extensive industry experience and a comprehensive AI ecosystem, which includes infrastructure, data, models, and agent development [2][3] - The Cognizant Neuro AI platform will facilitate the integration of foundational AI elements and solutions, enabling businesses to transition from proofs of concept to larger-scale enterprise AI implementations [3][4] Group 2: Specific AI Applications - The company is developing enterprise AI agentification through the Cognizant® Neuro AI Multi-Agent Accelerator, allowing clients to build and scale multi-agent AI systems for adaptive operations and personalized customer experiences [3][4] - Cognizant is creating industry-oriented LLMs powered by NVIDIA technologies, which are tailored to meet the unique needs of various industries, such as healthcare, where a fine-tuned language model has shown to reduce effort by 30-75% and improve coding accuracy by 30-40% [3][4] Group 3: Digital Twins and Manufacturing - Cognizant's digital twin offerings, enhanced by NVIDIA Omniverse™, aim to drive digital transformation in manufacturing by providing real-time insights and predictive analytics to improve operational efficiency [4] - The integration of diverse data sources with synthetic data will allow clients to simulate various scenarios and optimize plant operations [4] Group 4: AI Infrastructure - Cognizant's AI infrastructure, accelerated by NVIDIA, will provide clients with access to "GPU as a Service" and secure managed infrastructure, improving cost efficiency and performance in AI implementations [4] - An example implementation for a large healthcare client demonstrated a 2.7x cost efficiency improvement and a 1.8x enhancement in Spark workload performance [4] Group 5: Market Position and Future Outlook - The partnership between Cognizant and NVIDIA is positioned to support enterprises in accelerating the value of their AI investments, focusing on economic impact and industry-specific deployments [4]