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ServiceNow and NVIDIA Partner for Generative AI Across Enterprise IT

Built on ServiceNow platform With NVIDIA AI Software and DGX infrastructure, custom large language models to bring intelligent workflow automation to enterprises.

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By DE Editors  

May 22, 2023

ServiceNow and NVIDIA have announced a partnership to develop enterprise-grade generative artificial intelligence (AI) capabilities with a goal to achieve faster, more intelligent workflow automation, the companies report.

Using NVIDIA software, services and accelerated infrastructure, ServiceNow is developing custom large language models trained on data specifically for its ServiceNow Platform, the intelligent platform for end-to-end digital transformation. 

This will expand ServiceNow’s 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 increase productivity. 

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

“IT is the nervous system of every modern enterprise in every industry,” says Jensen Huang, founder and CEO of NVIDIA. “Our collaboration to build super-specialized generative AI for enterprises will boost the capability and productivity of IT professionals worldwide using the ServiceNow platform.”

“As adoption of generative AI continues to accelerate, organizations are turning to trusted vendors with battle-tested, secure AI capabilities to boost productivity, gain a competitive edge, and keep data and IP secure,” says CJ Desai, president and chief operating officer of ServiceNow. “Together, NVIDIA and ServiceNow will help drive new levels of automation to fuel productivity and maximize business impact." 

Harnessing Generative AI 

ServiceNow and NVIDIA are exploring 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 resolve user questions and support requests with purpose-built AI chatbots that use large language models and focus on defined IT tasks. 

Enterprises can customize chatbots with 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 prioritization with greater accuracy, according to NVIDIA. 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 customized learning and development recommendations, like courses and mentors, based on natural language queries and information from an employee’s profile. 

In its generative AI research and development, ServiceNow is using NVIDIA AI Foundations cloud services and the NVIDIA AI Enterprise software platform, which includes the NVIDIA NeMo framework. 

Included in NeMo are prompt tuning, supervised fine-tuning and knowledge retrieval tools to help developers build, customize and deploy language models for enterprise use cases. NeMo Guardrails software is also included and enables developers to easily add topical, safety and security features for AI chatbots.

Sources: Press materials received from the company and additional information gleaned from the company’s website.

 

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DE's editors contribute news and new product announcements to Digital Engineering. Press releases may be sent to them via [email protected].

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Digital Thread   Collaboration   News   Digital Thread   Generative Artificial Intelligence AI   NVIDIA   ServiceNow   All topics
 

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