Towards Automated Planning for Enterprise Services: Opportunities and Challenges

被引：3
|
作者：
Vukovic, Maja [1 ]
Gerard, Scott [1 ]
Hull, Rick [1 ]
Katz, Michael [1 ]
Shwartz, Laura [1 ]
Sohrabi, Shirin [1 ]
Muise, Christian [1 ]
Rofrano, John [1 ]
Kalia, Anup [1 ]
Hwang, Jinho [1 ]
Dang Yabin [2 ]
Ma Jie [2 ]
Jiang Zhuoxuan [2 ]
机构：
[1] IBM TJ Watson Res Ctr, Yorktown Hts, NY 10598 USA
[2] IBM China Res Lab, Beijing, Peoples R China
来源：
SERVICE-ORIENTED COMPUTING (ICSOC 2019) | 2019年 / 11895卷
关键词：
Enterprise services; Change and event management; Migration; AI planning;
D O I：
10.1007/978-3-030-33702-5_6
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
Existing Artificial Intelligence (AI) driven automation solutions in enterprises employ machine learning, natural language processing, and chatbots. There is an opportunity for AI Planning to be applied, which offers reasoning about action trajectories to help build automation blueprints. AI Planning is a problem-solving technique, where knowledge about available actions and their consequences is used to identify a sequence of actions, which, when applied in a given initial state, satisfy a desired goal. AI Planning has successfully been applied in a number of domains ranging from space applications, logistics and transportation, manufacturing, robotics, scheduling, e-learning, enterprise risk management, and service composition. In this paper, we discuss experience in building automation solutions that employ AI planning for use in enterprise IT and business services, such as change and event management, migration and transformation and RPA composition. We discuss challenges in adoption of AI planning across the enterprise from implementation and deployment perspectives.
引用
收藏
页码：64 / 68
页数：5
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