公司规模
Large Corporate
国家
- United States
产品
- Now Assist
- Predictive Intelligence
- ServiceNow Generative AI
- Now LLM Service
技术栈
- Large Language Models (LLMs)
- Predictive Intelligence Workbench
- Task Intelligence
实施规模
- Enterprise-wide Deployment
影响指标
- Productivity Improvements
- Customer Satisfaction
- Digital Expertise
技术
- 分析与建模 - 机器学习
- 分析与建模 - 预测分析
- 平台即服务 (PaaS) - 连接平台
适用行业
- Software
- Professional Service
适用功能
- 商业运营
- 质量保证
用例
- 预测性维护
- 远程资产管理
- 虚拟培训
服务
- 软件设计与工程服务
- 系统集成
关于客户
ServiceNow is a leading provider of enterprise cloud computing solutions, specializing in digital workflows that transform how organizations operate. With a focus on IT service management, human resources, customer service, and more, ServiceNow offers a comprehensive platform that integrates various business functions. The company serves a diverse range of industries, including technology, finance, healthcare, and manufacturing, among others. ServiceNow's customer base includes large corporations and enterprises seeking to enhance their operational efficiency and drive digital transformation. By leveraging advanced technologies such as AI and machine learning, ServiceNow aims to empower organizations to automate processes, improve productivity, and deliver exceptional customer experiences. The company's commitment to innovation and customer-centric solutions has positioned it as a leader in the enterprise software market.
挑战
ServiceNow customers are increasingly interested in applying AI to drive Intelligent Automation within the platform. The challenge lies in effectively combining Generative AI with existing Classic AI capabilities to enhance decision-making and automate processes. Customers are curious about how Generative AI, specifically Now Assist, can be integrated with Predictive/Task Intelligence to create more efficient AI solutions. The goal is to leverage AI to automate remediation processes and improve productivity across various workflows, such as ITSM, HRSD, CSM, ITOM, and SPM. Additionally, there is a need to simplify the implementation of Generative AI solutions, making them more accessible and reducing the resources required for deployment.
解决方案
ServiceNow has introduced Generative AI capabilities through Now Assist, a solution designed to enhance productivity and automate decision-making processes. Now Assist leverages the Now LLM Service, which combines ServiceNow-built LLMs, commercial LLMs, and open-source LLMs to provide optimal solutions for various problems. The platform integrates Generative AI with Classic AI capabilities, such as Predictive Intelligence, to create a comprehensive AI solution. This integration allows for the automation of tasks, such as predicting assignment groups, suggesting solutions, and identifying knowledge gaps. Now Assist is designed to be a turnkey solution, enabling customers to activate Generative AI capabilities with minimal implementation resources. The platform also enhances chatbot functionality by dynamically generating Virtual Agent conversations, reducing the need for development. Additionally, Now Assist can generate knowledge articles from incidents, streamlining the knowledge management process. By combining Generative AI with Classic AI, ServiceNow aims to improve agent productivity, reduce response times, and enhance overall operational efficiency.
运营影响
Case Study missing?
Start adding your own!
Register with your work email and create a new case study profile for your business.
相关案例.
Case Study
SET Creative Ditches Google Vault for Datto Backupify
When Kienholz first started at SET, the staff was using Microsoft Outlook for email with no form of data backup. It became apparent that something needed to change as the staff was often burdened with trying to recover emails from departed employees. Kienholz transitioned the team to Google’s Gmail and implemented Google Vault for backup purposes. While SET employees quickly adjusted to Gmail, which many use for personal email, the same could not be said for Google Vault. “Unlike most Google products, Vault was not user friendly at all. It’s very hard to search for items. We never really figured out how to do a restore either,” explained Kienholz. Due to SET’s work with high-profile brands, projects often go through many rounds of revisions right down to the eleventh hour. This means that every bit of information - especially data living in project managers’ emails - is crucial to delivering clients a polished design at deadline.
Case Study
Infosys achieves a 5–7 percent effort reduction across projects
Infosys, a global leader in consulting, technology, and outsourcing solutions, was facing significant challenges in application development and maintenance due to its distributed teams, changing business priorities and the need to stay in alignment with customer needs. The company used a mix of open source, home-grown and third-party applications to support application development projects. However, challenges resulting from distributed teams using manual processes increased as the company grew. It became more and more important for Infosys to execute its projects efficiently, so they could improve quality, reduce defects and minimize delays.
Case Study
Arctic Wolf Envelops Teamworks with 24x7 Cybersecurity Protection and Comprehensive Visibility
Teamworks, a leading athlete engagement platform, faced rising cyberthreats and needed enhanced visibility into its network, servers, and laptops. With software developers connecting from all over the world, the company sought to improve its security posture and position itself for future growth. The company had a secure platform but recognized the need for a more proactive solution to identify gaps within its technology infrastructure. Data exfiltration and malicious access were top concerns, prompting the need for a comprehensive security upgrade.
Case Study
Sawback IT and Datto Save Client From a Costly Mistake
Ballistic Echo, a software development house, faced a critical challenge when human error led to the deletion of thousands of lines of unique code. This incident occurred before the code was pushed to source control, resulting in significant loss of time, revenue, and work. The previous file-level backup solution they used was slow and inefficient, making it nearly impossible to manually recreate the lost work. The need for a more reliable and efficient business continuity solution became evident to avoid such disasters in the future.
Case Study
Opal Helps Customers Shine Thanks to Datto
SP Flooring & Design Center faced a ransomware attack that encrypted and locked their files. The attack was initiated through a compromised service account set up by an outside vendor. The ransomware infection was isolated quickly, but there was a concern about the extent of the data at risk. The company had backups in place but was unsure of how much information was compromised. The situation required immediate action to prevent further damage and restore the affected data.
Case Study
Zapier Aggregates Multiple Analytics in a Single Dashboard with the New Relic Platform
Zapier, a company that enables non-technical users to push data between hundreds of web applications, was facing a challenge in automating and provisioning servers for optimal performance. The company's environment consisted of 50 Linux servers on the Amazon Elastic Compute Cloud (EC2), a Django application split across several servers, and a backend consisting of a dynamic number of celery task workers fed by messages published to a RabbitMQ cluster. They also maintained a number of internal web services on nginx in front of Gunicorn and Node.js processes. Redis handled simple key and value stores, with logging handled by Graylog2 and ElasticSearch. However, they realized that no level of automation would be sufficient without an effective monitoring solution in place. They needed a tool that could provide immediate alerts when something was breaking and could be easily implemented into their environment.