Digital Event Horizon
Revolutionizing Industry with Specialized AI Agents: How NVIDIA Technologies Are Fueling Business Transformation
Agentic AI is transforming industries by enabling businesses to create specialized agents that can understand and act within their unique workflows and business needs. With the help of NVIDIA's technologies, companies are boosting productivity and return on investment.
NVIDIA's agentic AI model, Nemotron, is being used by various businesses across industries. The use of agentic AI is increasing in industries such as cybersecurity and e-commerce. Companies like CrowdStrike and PayPal are leveraging agentic AI to automate tasks and improve decision-making. NVIDIA's technologies, including Nemotron and NeMo, are enabling businesses to create specialized agents that boost productivity and ROI.
Agentic AI, a type of artificial intelligence that enables machines to learn from experience and make decisions without being explicitly programmed, is becoming an increasingly important tool for businesses across various industries. The use of agentic AI has been gaining momentum in recent years, with companies leveraging open-source models and tools to create specialized agents designed to understand and act within the needs of a specific use case.
At the heart of this trend are NVIDIA's technologies, specifically its Nemotron open foundation models, which provide a powerful building block for creating specialized agentic AI agents. These models can be tailored for unique workflows and business needs, boosting productivity and return on investment.
One notable example is CrowdStrike, a cybersecurity firm that is building specialized AI agents to work alongside security teams. The company's Falcon agentic security platform, powered by NVIDIA Nemotron open models and NVIDIA NIM microservices, automates high-volume tasks such as alert triage and remediation. This allows human analysts to focus on higher-order decision-making, increasing the accuracy of alert triage from 80% to 98.5%.
PayPal, a leader in payments and e-commerce, is also leveraging agentic AI to accelerate intelligent commerce. The company's specialized AI agents, developed on Nemotron open models, enable conversational commerce experiences, where agents can shop, buy, and pay on a user's behalf. This approach has allowed PayPal to build a fine-tuning pipeline in two weeks and reduce latency by nearly 50% while maintaining the high accuracy required to serve its 430 million customers and 30 million merchants.
Synopsys, a leading provider of software and services for the development and design of complex electronic systems, is another company that has adopted agentic AI. The company's Agent Engineer, AI agents deployed across the entire chip development workflow, from verification to implementation, dramatically boost productivity in research and development. These agents identify critical design bugs that traditional techniques can miss, reducing costly delays.
To create these specialized AI agents, companies are taking several steps, including evaluating open models like NVIDIA Nemotron, curating, generating, and securing domain data using NVIDIA NeMo for agent lifecycle management, creating customized models with access to proprietary data, and fine-tuning agents over time with a data flywheel.
In conclusion, the use of agentic AI is revolutionizing industries by enabling businesses to create specialized agents that can understand and act within their unique workflows and business needs. NVIDIA's technologies, particularly Nemotron open foundation models, are providing a powerful building block for this trend, allowing companies to boost productivity and return on investment.
Related Information:
https://www.digitaleventhorizon.com/articles/Revolutionizing-Industry-with-Specialized-AI-Agents-How-NVIDIA-Technologies-Are-Fueling-Business-Transformation-deh.shtml
https://blogs.nvidia.com/blog/specialized-ai-agents/
https://www.cio.com/article/4090314/how-ai-agents-are-reshaping-enterprise-experience-and-intelligent-flow.html
Published: Mon Nov 24 12:30:04 2025 by llama3.2 3B Q4_K_M
