ServiceNow and NVIDIA partner on generative AI for enterprises

ServiceNow and NVIDIA are teaming up to bring generative AI to enterprises. They are developing powerful, enterprise-grade generative AI capabilities that can transform business processes with faster, more intelligent workflow automation.

ServiceNow is using NVIDIA technologies to develop custom large language models trained on data specifically for its intelligent platform for end-to-end digital transformation. This will expand its extensive AI functionality with new uses for generative AI across the enterprise — including for IT departments, customer service teams, employees and developers — to strengthen workflow automation and rapidly increase productivity.

The company is also helping NVIDIA streamline its IT operations with generative AI tools using NVIDIA data to customise NVIDIA NeMo foundation models running on hybrid-cloud infrastructure consisting of NVIDIA DGX Cloud and on-premises NVIDIA DGX SuperPOD AI supercomputers.

“Our collaboration to build super-specialised generative AI for enterprises will boost the capability and productivity of IT professionals worldwide using the ServiceNow platform,” said Jensen Huang, Founder and CEO of NVIDIA.

“Together, NVIDIA and ServiceNow will help drive new levels of automation to fuel productivity and maximise business impact,” said CJ Desai, President and Chief Operating Officer of ServiceNow.

Exploring new generative AI use cases

The two companies are exploring a number of generative AI use cases to simplify and improve productivity across the enterprise by providing high accuracy and higher value in IT. This includes developing intelligent virtual assistants and agents to help quickly resolve a broad range of user questions and support requests with purpose-built AI chatbots that use large language models and focus on defined IT tasks.

To simplify the user experience, enterprises can customise chatbots with proprietary data to create a central generative AI resource that stays on topic while resolving many different requests.

These generative AI use cases are also applicable to customer service agents, allowing for case prioritisation with greater accuracy, saving time and improving outcomes. Customer service teams can use generative AI for automatic issue resolution, knowledge-base article generation based on customer case summaries, and chat summarization for faster hand-off, resolution and wrap-up.

In addition, generative AI can improve the employee experience by helping identify growth opportunities. For example, delivering customised learning and development recommendations, like courses and mentors, based on natural language queries and information from an employee’s profile.

Photo: Mojahid Mottakin on Unsplash

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