论文标题
通过使用机器学习利用组织范围的知识来管理复杂交战中的风险
Manage risks in complex engagements by leveraging organization-wide knowledge using Machine Learning
论文作者
论文摘要
组织不断在执行项目方面变得更好的方法之一是从过去的经验中学习。在大型组织中，不同的帐户和业务部门经常在孤岛中工作，并在整个组织中挖掘丰富的知识基础，说起来容易做起来难。通过轻松访问整个组织的集体经验，项目团队和业务领导者可以主动预测和管理新的活动中的风险。早期发现和及时管理风险是当今复杂交战成功的关键。在本文中，作者描述了一种基于机器学习的解决方案，该解决方案采用了MLOP原理，以有效地解决此问题。
One of the ways for organizations to continuously get better at executing projects is to learn from their past experience. In large organizations, the different accounts and business units often work in silos and tapping the rich knowledge base across the organization is easier said than done. With easy access to the collective experience spread across the organization, project teams and business leaders can proactively anticipate and manage risks in new engagements. Early discovery and timely management of risks is key to success in the complex engagements of today. In this paper, the authors describe a Machine Learning based solution deployed with MLOps principles to solve this problem in an efficient manner.
