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ServiceNow Expands Generative AI Capabilities

ServiceNow, the low-code enterprise automation company, has recently announced exciting expansions to its Now platform’s generative AI capabilities. These new features include case summarization and text-to-code functionalities, which are aimed at boosting speed, productivity, and overall value for customers across various industries.

The purpose of these generative AI capabilities is to alleviate repetitive tasks and enhance productivity. The case summarization feature automatically extracts crucial information from IT, HR, and customer service cases, streamlining the resolution process. On the other hand, text-to-code converts natural language text prompts into executable code for the ServiceNow platform, providing developers with an efficient way to create code.

Jon Sigler, VP of Now Platform at ServiceNow, highlighted the significance of these advancements, stating that by integrating generative AI into their platform and workflow offerings, they aim to help customers drive business value from a single source. The ServiceNow large language model (LLM) was specifically designed to comprehend the Now Platform, workflows, automation use cases, and processes, ensuring accuracy, performance, and increased trust for ServiceNow use cases.

Strategic partnerships with tech giants such as Nvidia and Hugging Face played a crucial role in the exclusive development of ServiceNow’s LLM. These alliances expedited the integration of enterprise generative AI capabilities by combining cutting-edge research, advanced AI infrastructure, and expert domain knowledge.

The company’s collaboration with Nvidia and Accenture also led to the creation of the AI Lighthouse program, allowing customer companies to swiftly develop their own generative AI applications without lengthy assessment and procurement processes. Through this initiative, customers gain access to ServiceNow’s enterprise automation platform and engine, Nvidia’s AI supercomputing and software, and Accenture’s consulting and deployment services.

Case summarization and text-to-code are expected to significantly improve enterprise productivity. Case summarization enhances efficiency by providing essential information from case details, prior interactions, and resolutions, leading to faster hand-offs between internal teams and streamlined resolutions for customers and employees. On the other hand, text-to-code empowers developers with a time-efficient approach to creating code for routine commands, thereby improving code hygiene, accuracy, and quality.

The integration of generative AI technology into the Now platform makes enterprise coding more accessible and effective for developers, regardless of their coding expertise. ServiceNow’s proprietary LLM, known as StarCoder, was meticulously trained and fine-tuned using vast amounts of proprietary enterprise data. This specialized LLM is expected to boost the productivity of all users who utilize the ServiceNow platform across their organizations.

Looking ahead, ServiceNow is actively exploring how generative AI can enhance the efficiency of their sales teams in onboarding and addressing product-related inquiries promptly. Additionally, they aim to accelerate employee growth and career development by implementing generative AI. The company’s future strategy involves integrating generative AI throughout the Now platform, enabling customers to operate with intelligence at scale and fostering gen AI-powered innovation across all aspects of their businesses.

In conclusion, ServiceNow’s expansion of generative AI capabilities brings significant advancements to its Now platform, promising increased productivity, streamlined processes, and intelligent automation for its customers.

ServiceNow Unveils Now Assist for Virtual Agent

ServiceNow today announced its latest generative AI solution, Now Assist for Virtual Agent, with the aim of revolutionizing self-service by offering intelligent and relevant conversational experiences. The new capability expands on ServiceNow’s strategy of integrating generative AI capabilities into its Now Platform, which helps customers to streamline digital workflows and optimize productivity.

This tool utilizes generative AI to deliver direct and contextually accurate responses to user inquiries. Integrated with the Now Platform, it will enable users to swiftly access relevant information and connect with digital workflows tailored to their needs. Now Assist provides user assistance with internal code snippets, product images or videos, document links and summaries of knowledge base articles.

According to the company, this self-service capability will help users obtain quick and accurate solutions, even when they need guidance on whom to approach or where to begin. The company believes that by enhancing self-solve rates and accelerating issue resolution, the feature significantly boosts productivity.

“One of the key goals of our new offering is to unlock additional productivity without added complexity by providing direct, relevant conversational responses,” Jeremy Barnes, VP for platform product AI at ServiceNow, told VentureBeat. “By connecting exchanges to automated workflows, customers can get the information they need within the context of their organization.”

ServiceNow’s launch of Now Assist aligns with the introduction of their Generative AI Controller, which serves as the foundation for all generative AI functionality on the Now Platform. In addition, the company has also collaborated with Nvidia to develop customized large language models (LLMs) for workflow automation.

Leveraging generative AI to streamline user inquiries

Now Assist for Virtual Agent can be easily configured using Virtual Agent Designer in a low-code, drag-and-drop environment. Additionally, users can create and deploy conversational self-service with the tool’s diagram drag-and-drop designer, which incorporates natural language understanding (NLU).

ServiceNow says this integration can be easily incorporated into an organization so they can begin automating and streamlining digital workflows to achieve faster responses.

“Now Assist allows organizations to easily connect across a company’s internal knowledge base, and then supplement answers with general purpose LLMs like Microsoft Azure OpenAI Service LLM and OpenAI API,” said Barnes.

In partnership with Nvidia, the company is actively developing custom LLMs tailored specifically for ServiceNow. These LLMs will be readily available and integrated into the Now Platform.

Barnes highlighted that the company’s strategy encompasses supporting both general-purpose LLMs and providing domain-specific LLMs. The ongoing collaboration with Nvidia aims to address a broad spectrum of customer requirements with custom LLMs.

Custom LLMs built with Nvidia

The company is developing custom LLMs using Nvidia’s software, services and infrastructure, trained on data specifically for the ServiceNow Platform, Barnes explained.

“We believe there will be many more exciting advances as we continue to strengthen workflow automation and increase productivity,” he said.

Barnes explained that if an organization’s knowledge base lacks sufficient information to provide a contextual response to a general question, Now Assist will establish a connection with general-purpose LLMs to augment the answer.

“If a user doesn’t know who to ask or where to start, our new solution will help them quickly determine the most relevant answer without having to scroll through endless links or knowledge base articles,” Barnes added. “For our customers, this is about simplification and not having to slow down to understand how and where to get the help you need — but to be able to get it at the speed of your work.”

The company said that Now Assist for Virtual Agent and Now Assist for Search are presently accessible to a select group of customers and are anticipated to be widely available in ServiceNow’s Vancouver release scheduled for September 2023.

What’s next for ServiceNow? 

Barnes said that ServiceNow is actively exploring future use cases of generative AI to enhance productivity across various business functions, such as IT, employee experience and customer service.

“We are exploring additional future use cases to help agents more quickly resolve a broad range of user questions and support requests with purpose-built AI chatbots that use LLMs and focus on defined IT tasks,” he said. “Internally, ServiceNow is exploring how AI can be used to generate and document code and scripts as well as evaluating how it can help employees find information faster for things like benefits, PTO policies, opening incidents and more.”

The company aims to integrate all workflows with generative AI and low code. By doing so, ServiceNow believes it will unlock new use cases that effectively leverage the technology’s potential across industries and enable the creation of new revenue streams.

“We’re incredibly excited about enterprise AI,” said Barnes. “There are hundreds of use cases where generative AI — applied to a business problem you’re solving for — can radically transform the productivity curve.”