Low-code enterprise automation company, ServiceNow, has announced the expansion of its Now platform’s generative AI capabilities. This introduction comes with the addition of case summarization and text-to-code features, aiming to drive speed, productivity, and value for customers in various industries. With these advancements, ServiceNow is purposefully designed to alleviate repetitive tasks and improve productivity.
The Now platform’s case summarization feature automatically distills crucial information from IT, HR, and customer service cases. By streamlining resolutions, it reduces the time spent by employees on repetitive tasks. This automation allows for swift hand-offs between internal teams, boosting efficiency, and delivering streamlined resolutions for customers.
Another significant addition is the text-to-code feature, which converts natural language text prompts into executable code for the ServiceNow platform. This optimized and efficient way of creating code empowers developers to save time and effort. By eliminating the need to manually write routine commands, developers can focus on more complex tasks, improving code hygiene, accuracy, and overall quality.
ServiceNow credits its strategic partnerships and collaborations with tech giants like Nvidia and Hugging Face for the exclusive development of its generative AI capabilities. Through these alliances, ServiceNow has expedited the integration of enterprise gen AI capabilities. This collaboration merges cutting-edge research, advanced AI infrastructure, and expert domain knowledge, ensuring higher accuracy and performance for ServiceNow use cases.
AI Lighthouse Program
ServiceNow, Nvidia, and Accenture have recently unveiled the AI Lighthouse program. This initiative allows customer companies to swiftly develop their generative AI applications, bypassing lengthy assessment and procurement processes. By leveraging ServiceNow’s enterprise automation platform, Nvidia’s AI supercomputing and software, and Accenture’s consulting and deployment services, customers gain access to a comprehensive suite of tools and expertise.
The case summarization feature enhances efficiency and expedites customer outcomes by distilling vital information from case details, prior interactions, actions, and resolutions. With this automation, agents spend less time getting up to speed on a case and writing resolution notes, resulting in improved productivity and a better customer experience.
Similarly, the text-to-code feature aims to empower developers by providing a time-efficient approach to creating code. By translating plain, natural language text descriptions into high-quality code suggestions, developers can save time and improve the overall coding process.
A Game-Changing Proprietary Model
ServiceNow’s generative AI capabilities are built on a proprietary ServiceNow LLM specifically developed to comprehend the Now Platform, workflows, automation use cases, and processes. Unlike generic large language models, the ServiceNow LLM, called StarCoder, is carefully trained and fine-tuned using a vast amount of proprietary enterprise data. This ensures increased productivity for all users of the ServiceNow platform.
ServiceNow is actively exploring how generative AI can enhance its sales teams’ efficiency and accelerate employee growth and career development. The company’s future strategy involves integrating generative AI throughout the Now Platform, enabling customers to operate with intelligence at scale. By fostering gen AI-powered innovation, ServiceNow aims to provide personalized experiences and powerful problem-solving for its customers.
Overall, ServiceNow’s expansion of the Now platform’s generative AI capabilities brings significant benefits to customers, driving speed, productivity, and value. With automated case summarization and efficient text-to-code conversion, ServiceNow continues to position itself as a leader in low-code enterprise automation.
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