New Delhi: Capgemini is collaborating with NVIDIA to develop industry-specific AI agents aimed at simplifying enterprise AI adoption. The initiative focuses on automating business processes across sectors such as healthcare, finance, manufacturing, and telecom.
AI Agents for Industry-Specific Needs
Capgemini’s AI agents are designed to integrate with existing enterprise infrastructure, reducing the complexity of AI adoption. The company is leveraging NVIDIA NIM and AI Enterprise to develop over 100 AI-driven solutions, streamlining deployment for businesses. These AI agents will assist in fraud detection, process automation, real-time data monitoring, and governance compliance.
Some key use cases include:
Financial Services – AI-driven fraud detection and real-time investment management.
Healthcare – AI support in drug discovery and clinical trials.
Manufacturing – AI-enhanced process monitoring for safety and efficiency.
Public Sector – AI-driven administrative assistants and fraud prevention tools.
Retail and Supply Chain – AI-powered shelf monitoring and inventory management.
Telecom – Network automation and AI-powered customer support services.
Governance and Compliance at the Core
Capgemini has integrated governance frameworks into these AI solutions to ensure compliance with industry regulations. The company emphasizes secure AI integration, offering businesses a controlled environment for AI deployment.
Norway’s AI Factory: A Case Study
Capgemini’s collaboration with Telenor highlights the potential of AI-driven infrastructure. Launched in 2024, the Telenor AI Factory provides a secure AI cloud service focused on data sovereignty, running on 100% renewable energy. The initiative aims to accelerate AI adoption while maintaining strict security and sustainability standards.
Expanding AI’s Role in Enterprise Innovation
Roshan Gya, CEO of Capgemini Invent, stated that the collaboration with NVIDIA will help enterprises adopt AI more efficiently, from strategy to deployment. NVIDIA’s AI stack provides the necessary infrastructure to scale AI-driven solutions, addressing business challenges across multiple industries.
The partnership underscores a broader trend of enterprises investing in AI-driven automation to improve efficiency and decision-making.
