ServiceNow and Nvidia team up to build AI-generated applications for enterprise IT

As the demand for artificial intelligence (AI) in the enterprise continues to grow, technology companies like ServiceNow and Nvidia are collaborating to create AI generative applications for various enterprise functions. The goal is to optimize business processes and workflows, thereby increasing productivity and enhancing the customer experience.

This collaboration aims to bring advanced AI algorithms to IT service management by leveraging ServiceNow’s workflow platform and Nvidia’s DGX Cloud, Nvidia DGX SuperPOD, and Nvidia’s Enterprise AI software suite for building generative AI applications across enterprise IT departments, customer service teams, employees, and developers.

AI generative applications for IT

ServiceNow and Nvidia are developing AI generative applications for IT departments, including ticket summarization, ticket auto-routing, incident severity prediction, intent detection, semantic search, ticket auto-resolution, and root cause analysis. These generative AI applications and tools aim to help simplify workflows for IT professionals and offer more efficient solutions to IT-related problems.

For example, ticket summarization by AI can help save agents at least seven to eight minutes per interaction, which can significantly boost productivity and assist IT teams in scaling their operations.

Virtual assistants for AI implementation

The implementation of generative AI by ServiceNow and Nvidia will be mostly done through virtual assistants. These AI-powered virtual assistants will be purpose-built chatbots that use large language models and focus on defined IT tasks.

AI chatbots will be able to handle a broad range of user questions and support requests faster and with greater accuracy. This technology will help streamline IT processes, enabling faster and more efficient resolution of IT issues, and improving the overall experience for IT professionals and end-users alike.

Improving Employee Experience with Generative AI

Generative AI can also help enterprises improve employee experience by identifying growth opportunities, recommending courses and mentors based on natural language queries and information from a staff member’s profile.

By using generative AI, employees can receive custom-tailored career guidance to help them make informed decisions about their professional development, ultimately leading to improved career success. This tool can also help organizations retain valuable talent, develop their workforce, and increase overall productivity.

ServiceNow is developing generative AI use cases for Nvidia

ServiceNow is collaborating with Nvidia to streamline IT operations. They are using Nvidia’s data available on their platform to customize foundation models using Nvidia’s NeMo framework on DGX Cloud and on-premises DGX SuperPOD computers.

NVIDIA’s NeMo framework is part of the NVIDIA AI Enterprise software suite, and it includes features such as prompt tuning, supervised fine-tuning, and knowledge retrieval tools that help developers build, customize, and deploy language models for enterprise use cases.

Accelerating the Data Science Pipeline with NVIDIA AI Enterprise Software Suite

Nvidia’s AI Enterprise software suite helps to accelerate the data science pipeline and streamline the development and deployment of production AI, including generative AI, computer vision, and speech AI. ServiceNow and Nvidia are working together to bring AI transformation to IT service management through practical, real-world use cases.

In conclusion, ServiceNow and Nvidia’s collaboration on building AI generative applications for enterprise IT teams promises to be a game-changer. By combining AI with IT service management, organizations can streamline their processes, improve employee experience, and enhance customer service. With the acceleration of the data science pipeline by Nvidia AI Enterprise software suite, this approach can help organizations stay competitive and deliver value to their customers more efficiently.

Explore more

What Is the Future of Vietnam’s E-Commerce Powerhouse?

The bustling streets of Ho Chi Minh City, once defined by the rhythmic hum of motorbikes and street vendors, have now become the frantic nerve center for a digital retail revolution that is redrawing the economic map of Southeast Asia. This transformation is not merely about changing consumption habits; it represents a comprehensive structural overhaul of how value is created

Are the Lines Between PR and Marketing Finally Vanishing?

Modern consumers no longer distinguish between a carefully crafted press release and a targeted digital advertisement appearing in their social feeds because they consume information in a seamless, non-linear fashion. The divide between buying audience attention and earning it has dissolved into a singular stream of consciousness where brand reputation and sales tactics collide. Historically, marketing and public relations existed

Local Businesses Must Master Hyper-Local Marketing in 2026

The modern consumer no longer wanders aimlessly through city streets in search of a specific service but instead relies on a digital compass that prioritizes immediate geographical relevance and instant gratification. This shift toward a hyper-targeted search environment has transformed the local marketplace into a high-speed arena where proximity and precision dictate commercial survival. In this landscape, neighborhood businesses are

How to Optimize Your Website for AI Search Results

The silent majority of digital interactions today occurs beneath the surface of traditional browsing as non-human agents now dictate the visibility of global brands across the internet. Recent statistics confirm that more than 57% of global web traffic is now generated by bots rather than people, marking a fundamental shift in how digital content is consumed. As AI agents become

Which Top 10 RPA Platforms Are Redefining Procurement?

The traditional procurement landscape, once defined by mountains of paperwork and endless manual data entry, has undergone a radical metamorphosis that few could have predicted just a decade ago. For decades, procurement professionals remained tethered to the repetitive grind of invoice reconciliation, manual data transcription, and the constant chasing of supplier follow-ups. Many departments still find themselves spending sixty percent