用人工智能转换服务操作:实现业务价值的案例

Harsha Vijayakumar
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摘要

人工智能(AI)已迅速成为企业寻求提高效率和盈利能力的关键技术。人工智能被证明特别有影响力的一个领域是服务运营管理,它被用来创建人工智能驱动的服务运营(AIServiceOps),为客户提供高价值的服务。AIServiceOps涉及使用AI来自动化和优化各种业务流程,例如客户服务、销售、营销和供应链管理。人工智能的快速发展促使信息技术(IT)服务运营领域发生了许多变化。IT服务运营由AI驱动,即AIServiceOps。人工智能为IT服务运营注入了新的活力,解决了诸多挑战。然而,关于人工智能(AI)驱动的IT服务运营的商业价值影响的文献差距。它可以帮助It在复杂和不断变化的环境中创造价值,从而构建优化的业务弹性,因为产品组织的移动速度比It所能处理的要快。因此,本研究论文考察了AIServiceOps如何创造业务价值和可持续性,基本上是AIServiceOps如何使IT人员从低级重复的工作和传统的IT实践中解放出来,从而实现持续优化的流程。研究的目标之一是比较传统的IT服务运营与AIServiceOPs。本文为企业如何评估AIServiceOps并将其视为数字化转型工具提供了依据。本文介绍了一家实施人工智能服务运营(AIServiceOps)的公司的案例研究,并分析了由此产生的业务成果。研究表明,AIServiceOps可以显著改善服务交付,缩短响应时间,提高客户满意度。此外,它还演示了AIServiceOps如何节省大量成本,例如减少人工成本和最大限度地减少停机时间。
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TRANSFORMING SERVICE OPERATIONS WITH AI: A CASE FOR BUSINESS VALUE
Artificial Intelligence (AI) has rapidly become a critical technology for businesses seeking to improve efficiency and profitability. One area where AI is proving particularly impactful is in service operations management, where it is used to create AI-powered service operations (AIServiceOps) that deliver highvalue services to customers. AIServiceOps involve the use of AI to automate and optimize various business processes, such as customer service, sales, marketing, and supply chain management. The rapid development of Artificial Intelligence has prompted many changes in the field of Information Technology (IT) Service Operations. IT Service Operations are driven by AI, i.e., AIServiceOps. AI has empowered new vitality and addressed many challenges in IT Service Operations. However, there is a literature gap on the Business Value Impact of Artificial intelligence (AI) Powered IT Service Operations. It can help IT build optimized business resilience by creating value in complex and ever-changing environments as product organizations move faster than IT can handle. So, this research paper examines how AIServiceOps creates business value and sustainability, basically how AIServiceOps makes the IT staff liberation from a low-level, repetitive workout and traditional IT practices for a continuously optimized process. One of the research objectives is to compare Traditional IT Service Operations with AIServiceOPs. This paper provides the basis for how enterprises can evaluate AIServiceOps and consider it a digital transformation tool. The paper presents a case study of a company that implemented AI-powered service operations (AIServiceOps) and analyzes the resulting business outcomes. The study shows that AIServiceOps can significantly improve service delivery, reduce response times, and increase customer satisfaction. Furthermore, it demonstrates how AIServiceOps can deliver substantial cost savings, such as reducing labor costs and minimizing downtime.
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