AI-powered agents are revolutionising the way businesses and organisations operate, saving time and reducing costs while tackling complex challenges. From humanitarian aid and customer service to healthcare, AI agents built on the NVIDIA AI Enterprise software platform are enhancing productivity and delivering real-world impact.
AI agents improve global communication and education
AI technology can instantly translate, summarise, and process content in multiple languages, making it a game-changer for global organisations. By integrating AI into their workflows, businesses and institutions can engage with wider audiences more effectively.
The United Nations (UN) has partnered with Accenture to create a multilingual research agent that supports over 150 languages. This AI-powered tool provides insights into the UN’s Sustainable Development Goals, encouraging global awareness and participation in efforts to promote peace and economic sustainability.
Humanitarian aid organisation Mercy Corps, in collaboration with Cloudera, has developed an AI-driven Methods Matcher tool. This tool supports aid workers in over 40 countries by providing research insights, best-practice guidelines, and data-driven crisis response strategies, allowing faster delivery of aid during emergencies.
Meanwhile, Wikimedia Deutschland, using the DataStax AI Platform powered by NVIDIA AI, has significantly improved data processing capabilities. The platform can embed 10 million Wikidata items in just three days, achieving a 30x increase in ingestion speed.
AI enhances customer service across industries
AI agents are improving customer service by providing real-time insights and personalised responses. They enable businesses to offer 24/7 support, efficiently handling common inquiries while allowing human agents to focus on more complex cases.
These intelligent systems categorise and prioritise requests, ensuring that customers are quickly directed to the right specialists. Predictive analytics also play a key role, enabling proactive support by anticipating potential issues and equipping human agents with data-driven insights.
Companies across various sectors, including telecommunications, finance, healthcare, and sports, are already leveraging AI agents to enhance operations.
AT&T, in partnership with Quantiphi, has deployed the Ask AT&T AI agent in its call centres. This implementation has led to an 84% reduction in call centre analytics costs, demonstrating the efficiency gains of AI-powered solutions.
Southern California Edison, working with WWT, is using AI in Project Orca to manage over 100,000 network assets. AI-driven insights are helping to improve network reliability, reduce downtime, and streamline ticket resolution.
In the financial sector, banks utilising ServiceNow Dispute Management, developed with Visa, have seen up to a 28% reduction in call centre volumes and a 30% decrease in time taken to resolve disputes.
The Ottawa Hospital, in collaboration with Deloitte, has deployed AI-powered patient-care agents to assist over 1.2 million people in eastern Ontario, Canada. These virtual agents provide preoperative support and answer patient questions about upcoming medical procedures.
The National Hockey League (NHL), using the VAST Data Platform, is unlocking over 550,000 hours of historical game footage. This AI-powered system supports sponsorship analysis, enables video producers to quickly create broadcast clips, and enhances personalised content for fans.
NVIDIA AI Enterprise powers the next generation of AI agents
AI agents are becoming essential tools across industries, seamlessly integrating with knowledge bases to understand business-specific contexts. With capabilities like translation, data processing, predictive analytics, and automation, these agents boost productivity while cutting costs.
NVIDIA AI Enterprise provides the foundation for developing these advanced AI solutions. It includes NVIDIA NIM microservices for efficient model inference, along with the new NVIDIA Llama Nemotron reasoning model family. Additionally, NVIDIA NeMo tools simplify data processing, model customisation, system evaluation, and retrieval-augmented generation.
NVIDIA Blueprints offer industry best practices for building AI-powered agentic systems. With the AI-Q NVIDIA AI Blueprint, developers can integrate AI agents into larger systems that can reason, connect to enterprise data, and collaborate more effectively. This allows organisations to deploy AI agents that operate with greater autonomy and intelligence.
