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skan:2024年未来的流程智能市场报告(英文版)(21页).pdf

上传人: AG 编号:607241 2024-08-01 21页 4.31MB

1、THE FUTURE OF PROCESS INTELLIGENCE MARKET REPORTAUGUST 2024Sponsored by:The Future of Process Intelligence Market Report SSON 20242What is Process Intelligence and why is it so crucial in 2024?The Current State of Processes6 Benefits of Process IntelligenceThe Impact of AI and Generative AI on Proce

2、ss IntelligenceIn Conversation with the Experts:Sanofi&NokiaPractical Steps to Implement Process IntelligenceIn Conversation with Vinay Mummigatti,Executive Vice President of Strategy andCustomer Transformation at SkanLeading US Healthcare Payer Accelerates Re-engineering,Transformation&Automationwi

3、th Skans Process IntelligenceTable of Contents 34810Bethany BrownConference Producer&Junior EditorSSON Digital 612 SSON 20241419The Future of Process Intelligence Market Report SSON 20243Todays organizations operate under intense pressure:stemming from rising customer expectations,a rapid pace of ch

4、ange,a volatile geo-political environment,and a dearth of experienced talent in the crucial area of digital transformation.To keep up with the“do more with less”status quo and remain competitive,every process must be optimized to elevate process quality,compliance,productivity,and speed.Process Inte

5、lligence(PI)captures data,structured and unstructured,and uses AI to interpret it.This creates transparency into how your business processes are run,identifies any bottlenecks or anomalies,and provides a single source of truth,which is vital when exploring how you can make the processes the best the

6、y can be.Process mining and PI could be seen as interchangeable.However,there is a marked difference.Process mining is system-centric,only capturing committed states to monitor database-level changes,transactions,and processes that are well defined with structured data.Whereas PI provides end-to-end

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本文主要介绍了流程智能(Process Intelligence, PI)在2024年的市场报告。流程智能通过捕捉数据,包括结构化和非结构化数据,并使用AI进行解释,为业务流程提供透明度,识别任何瓶颈或异常,并提供单一的真实来源。报告指出,流程智能可以提高效率、可见性、生产力,并改善监管合规性。 报告还指出,AI和生成式AI对流程智能的影响日益增强。生成式AI通过自然语言处理和机器学习,使技术能够响应查询,预测潜在场景以优化决策。此外,报告还采访了Sanofi和Nokia的专家,探讨了流程智能在共享服务领域的应用。 最后,报告以一家美国领先的健康保险公司为例,展示了流程智能如何加速其重新工程、转型和自动化。通过部署Skan的流程智能,该公司已经识别出超过5000万美元的潜在节省,并将每个案例的流程周期时间减少了31%。
流程智能如何帮助企业提高效率和决策质量? 流程智能在实现业务流程优化方面有哪些具体优势? 流程智能如何帮助企业应对数据质量和合规性挑战?
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