AI agents are transforming work, delivering time and cost savings by helping people resolve complex challenges in new ways.
Whether developed for humanitarian aid, customer service or healthcare, AI agents built with the NVIDIA AI Enterprise software platform make up a new digital workforce helping professionals accomplish their goals faster — at lower costs and for greater impact.
AI Agents Enable Growth and Education
AI can instantly translate, summarize and process multimodal content in hundreds of languages. Integrated into agentic systems, the technology enables international organizations to engage and educate global stakeholders more efficiently.
The United Nations (UN) is working with Accenture to develop a multilingual research agent to support over 150 languages to promote local economic sustainability. The agent will act like a researcher, answering questions about the UN’s Sustainable Development Goals and fostering awareness and engagement toward its agenda of global peace and prosperity.
Mercy Corps, in collaboration with Cloudera, has deployed an AI-driven Methods Matcher tool that supports humanitarian aid experts in more than 40 countries by providing research, summaries, best-practice guidelines and data-driven crisis responses, providing faster aid delivery in disaster situations.
Wikimedia Deutschland, using the DataStax AI Platform, built with NVIDIA AI, can process and embed 10 million Wikidata items in just three days, with 30x faster ingestion performance.
AI Agents Provide Tailored Customer Service Across Industries
Agentic AI enhances customer service with real-time, highly accurate insights for more effective user experiences. AI agents provide 24/7 support, handling common inquiries with more personalized responses while freeing human agents to address more complex issues.
Intelligent-routing capabilities categorize and prioritize requests so customers can be quickly directed to the right specialists. Plus, AI agents’ predictive-analytics capabilities enable proactive support by anticipating issues and empowering human agents with data-driven insights.
Companies across industries including telecommunications, finance, healthcare and sports are already tapping into AI agents to achieve massive benefits.
AT&T, in collaboration with Quantiphi, developed and deployed a new Ask AT&T AI agent to its call center, leading to a 84% decrease in call center analytics costs.
Southern California Edison, working with WWT, is driving Project Orca to enhance data processing and predictions for 100,000+ network assets using agents to reduce downtime, enhance network reliability and enable faster, more efficient ticket resolution.
With the adoption of ServiceNow Dispute Management, built with Visa, banks can use AI agents with the solution to achieve up to a 28% reduction in call center volumes and a 30% decrease in time to resolution.
The Ottawa Hospital, working with Deloitte, deployed a team of 24/7 patient-care agents to provide preoperative support and answer patient questions regarding upcoming procedures for over 1.2 million people in eastern Ontario, Canada.
With the VAST Data Platform, the National Hockey League can unlock over 550,000 hours of historical game footage. This supports sponsorship analysis, helps video producers quickly create broadcast clips and enhances personalized fan content.
State-of-the-Art AI Agents Built With NVIDIA AI Enterprise
AI agents have emerged as versatile tools that can be adapted and adopted across a wide range of industries. These agents connect to organizational knowledge bases to understand the business context they’re deployed in. Their core functionalities — such as question-answering, translation, data processing, predictive analytics and automation — can be tailored to improve productivity and save time and costs, by any organization, in any industry.
NVIDIA AI Enterprise provides the building blocks for enterprise AI agents. It includes NVIDIA NIM microservices for efficient inference of state-of-the-art models — including the new NVIDIA Llama Nemotron reasoning model family — and NVIDIA NeMo tools to streamline data processing, model customization, system evaluation, retrieval-augmented generation and guardrailing.
NVIDIA Blueprints are reference workflows that showcase best practices for developing high-performance agentic systems. With the AI-Q NVIDIA AI Blueprint, developers can build AI agents into larger agentic systems that can reason, then connect these systems to enterprise data to tackle complex problems, harness other tools, collaborate and operate with greater autonomy.
Learn more about AI agent development by watching the NVIDIA GTC keynote and register for sessions from NVIDIA and industry leaders at the show, which runs through March 21.
See notice regarding software product information.