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

Trend Analysis: Agentic AI in Data Engineering

The modern enterprise is drowning in a deluge of data yet simultaneously thirsting for actionable insights, a paradox born from the persistent bottleneck of manual and time-consuming data preparation. As organizations accumulate vast digital reserves, the human-led processes required to clean, structure, and ready this data for analysis have become a significant drag on innovation. Into this challenging landscape emerges

Why Does AI Unite Marketing and Data Engineering?

The organizational chart of a modern company often tells a story of separation, with clear lines dividing functions and responsibilities, but the customer’s journey tells a story of seamless unity, demanding a single, coherent conversation with the brand. For years, the gap between the teams that manage customer data and the teams that manage customer engagement has widened, creating friction

Trend Analysis: Intelligent Data Architecture

The paradox at the heart of modern healthcare is that while artificial intelligence can predict patient mortality with stunning accuracy, its life-saving potential is often neutralized by the very systems designed to manage patient data. While AI has already proven its ability to save lives and streamline clinical workflows, its progress is critically stalled. The true revolution in healthcare is

Can AI Fix a Broken Customer Experience by 2026?

The promise of an AI-driven revolution in customer service has echoed through boardrooms for years, yet the average consumer’s experience often remains a frustrating maze of automated dead ends and unresolved issues. We find ourselves in 2026 at a critical inflection point, where the immense hype surrounding artificial intelligence collides with the stubborn realities of tight budgets, deep-seated operational flaws,

Trend Analysis: AI-Driven Customer Experience

The once-distant promise of artificial intelligence creating truly seamless and intuitive customer interactions has now become the established benchmark for business success. From an experimental technology to a strategic imperative, Artificial Intelligence is fundamentally reshaping the customer experience (CX) landscape. As businesses move beyond the initial phase of basic automation, the focus is shifting decisively toward leveraging AI to build