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Cognizant Collaborates With Nvidia To Accelerate Enterprise AI Adoption

Cognizant aims to accelerate AI adoption in five areas, including enterprise agents, industry-specific LLMs, and digital twins for smart manufacturing, among others.

<div class="paragraphs"><p>Cognizant has announced that it has collaborated with Nvidia to offer tech advancements aimed at accelerating adoption of AI in five areas. (Photo source: rawpixel.com/Freepik)</p></div>
Cognizant has announced that it has collaborated with Nvidia to offer tech advancements aimed at accelerating adoption of AI in five areas. (Photo source: rawpixel.com/Freepik)

Cognizant has announced that it has collaborated with Nvidia Corp. to offer tech advancements aimed at accelerating adoption of artificial intelligence in five areas: enterprise AI agents, industry-specific large language models, digital twins for smart manufacturing, foundational infrastructure for AI, and the capabilities of Cognizant's Neuro AI platform to integrate Nvidia AI technology.

Enterprise AI Agentification With Neuro AI Multi-Agent Accelerator

Running on Nvidia NIM microservices, this framework will enable enterprises to build and scale multi-agent AI systems for operations, decision-making and personalised customer experiences. Organisations can create and orchestrate agents using a low-code framework or use pre-built agent networks for fuctions such as sales, marketing, and supply chain management. The frameworks also allow third-party agent networks and LLM integration.

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Multi Agents

Through multi-agent systems and integration with Nvidia NIM, Blueprints, and Riva speech AI, Cognizant will develop an agent architecture that supports modular and adaptable agent design. This includes pre-built integrations with security guardrails and human oversight. This approach aims to enable enterprises to develop market-ready applications for specific needs, such as insurance claims underwriting, appeals and grievances, automated supply chain, and contract management.

Industry LLMs

Cognizant is developing industry-oriented LLMs powered by Nvidia NeMo and NIM to meet various needs of industries. For example, Cognizant has developed a fine-tuned language model to transform healthcare administrative processes. It is designed to help clients cut costs, decrease latency, improve revenue cycle management and help support accurate risk adjustment. 

Industrial Digital Twins

Cognizant’s smart manufacturing and digital twin offerings, supported by Nvidia Omniverse, will aim to address challenges in manufacturing operations and supply chain management by combining synthetic data generation, accelerated computing, and physical AI simulation technologies. The capabilities will help organisations improve plant layout and process simulations with real-time insights and predictive analytics Additionally, Cognizant’s offerings can be used to create and manage digital twins for large-scale systems, such as factories, smart grids, warehouses, or entire cities.

Infrastructure For AI

Cognizant’s infrastructure for AI will provide companies access to Nvidia AI technology, along with secure and managed infrastructure. This will help enable AI models to be run in various environments, including cloud, data centres or edge. Cognizant also intends to use Nvidia technology to help clients accelerate data pipelines for AI implementations.

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