1st International Workshop on AI and Data Mining for Services (ADMS)
November 12, 2018 - Hangzhou, China
Service management has been increasingly challenging for IT enterprises that create, deploy, and maintain services and infrastructure for a variety of customers and produce data at a large volume and velocity. At any given point, these enterprises need to know a myriad of information regarding the status, risk/compliance, business objectives, and operational health of the services involved. Further, business goal alignment and customer experience need to be prioritized and, accordingly, managed in an agile and optimized manner. To do so, enterprises are constantly seeking novel technologies and solutions in cognitive platforms, advanced analytics and learning, and interactive frameworks. With the proliferation of cloud computing, microservice architectures and IoT data fabrics, the enterprises face new challenges in operating their business with increased efficiency, reduced cost, faster time-to-market, and enhanced customer experience. For example, enterprises such as Amazon and Google can create, deploy and market new features/capabilities multiple times within the same day.
The problem of rapid change in enterprises demands the exploration of new directions and possible innovations. To be successful in this endeavor, we require forums of both academic and industry researchers, and practitioners. We propose this workshop to combine research efforts on eight timely challenges with immediate industry applications:
- AI for service operations
- Cognitive service frameworks
- Data mining platform and application for services
- Conversational IT services
- Cognition and learning in process management
- Cognitive solutions for cloud management
- Cognitive solutions for Internet of Things (IoT)
- IT service analytics
- Security, risk, and compliance
- Social aspects in microservice ecosystem
Papers Submission: August 13, 2018
Authors Notification: September 14, 2018
Early Registration: September 24, 2018
Camera Ready Paper & Copyright: October 1, 2018
Workshop: November 12, 2018
Submission and Publication
We invite authors to submit papers in three separate tracks.
1. Full paper track (maximum 15 pages) : This track focuses on significant research contribution.
2. Short paper track (maximum 8 pages): This highlights visionary ideas
3. PhD Thesis Presentation (15-20 slides): This allows PhD students to discuss their PhD thesis with a broader audience
4. Demonstration (maximum 4 pages): This allows participants to submit their research contributions in the form of a demo
For all the tracks, authors must use the Springer LNCS format. For submitting their papers, authors must use EasyChair. If there is a problem while submitting papers, please contact email@example.com.
- Anup Kalia, IBM T. J. Watson Research Center, NY, US
- Jin Xiao, IBM T. J. Watson Research Center, NY, US
- Fanjing Meng, IBM Research Lab, Beijing, China
- Larisa Shwartz, IBM T. J. Watson Research Center, NY, US
- Ying Li, Peking University, Beijing, China
Technical Program Committee