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https://www.sciencedirect.com/science/article/pii/016792369390034Z
Decision Support Systems 10 (1993) 121-136 121 North-Holland Machine learning for intelligent support of conflict resolution * Katia P. Sycara Carnegie Mellon University, Pittsburgh, PA, USA Because negotiation and conflict resolution are complex and unstructured tasks, they need sophisticated decision sup- port.Cited by: 109
https://www.icrc.org/en/document/artificial-intelligence-and-machine-learning-armed-conflict-human-centred-approach
Artificial intelligence and machine learning in armed conflict: A human-centred approach The ICRC, like many organizations across different sectors and regions, is grappling with the implications of artificial intelligence (AI) and machine learning for its work.
https://arxiv.org/pdf/1401.4381
intelligent techniques developed for knowledge conflict resolution. This paper focuses on some of the key intelligent techniques for conflict resolution in Multi-Agent Decision Support Systems. It focuses on the part of agents’ knowledge conflicts and it discusses seven techniques: Bayesian Network,Cited by: 3
https://www.sciencedirect.com/science/article/pii/016792369390031W
Decision Support Systems 10 (1993) 79-83 79 North-Holland Machine learning methods for intelligent decision support An introduction Michael J. Shaw Uniuersi~ of Illinois at Urbana-Champaign, Champaign, IL, USA This special issue focuses on research work developing machine learning methods for enhanc- ing intelligent decision support systems.Cited by: 14
https://www.stabilityjournal.org/articles/10.5334/sta.cr/
Oct 31, 2013 · Article: Machine Learning and Conflict Prediction: A Use Case For at least the last two decades, the international community in general and the United Nations specifically have attempted to develop robust, accurate and effective conflict early warning system for conflict prevention.Cited by: 7
https://www.cognizant.com/perspectives/how-machine-learning-can-optimize-customer-support
Feb 21, 2017 · Moving forward, machine learning will assume a major role in addressing customer support challenges. The technology can automate the process of identifying problems and recommending fixes, with or without human intervention, which speeds problem resolution, improves customer satisfaction and reduces costs.
https://blogs.msdn.microsoft.com/crm/2018/02/07/machine-learning-implementation-strategy-for-a-customer-service-center/
Feb 07, 2018 · A machine learning system can recommend the next best step to a novice by comparing the journey path of current case to other similar cases and recommend steps like send KB article via preferred channel, transfer to a different department, escalate to superior, fill information on case form, search CRM for information or search an external system.
https://marutitech.com/artificial-intelligence-for-customer-service-2/
Despite its role as Artificial Intelligence for customer service, machine learning capabilities of AI software still lack certain points where it needs refinement and human-like sensibility. When it comes to handling email support, AI robot should ideally be making suggestions and writing a proper draft to answer customer inquiries through emails.
https://cloudblogs.microsoft.com/dynamics365/bdm/2018/02/07/machine-learning-implementation-strategy-for-a-customer-service-center/
Feb 07, 2018 · With digitization of almost all industries on the way, advanced technologies like machine learning are revolutionizing the way of work for most industries today. Many customer service centers are already thinking about adopting machine learning for their day to day operations and these techniques will soon be a part of industry standard best practices. ItRead more
https://www.servicenow.com/products/predictive-intelligence.html
Predictive Intelligence for IT Service Management (ITSM) Increase productivity and reduce resolution times with machine learning that automatically categorizes and assigns new incidents to the right teams.
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