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公开(公告)号:US20200265733A1
公开(公告)日:2020-08-20
申请号:US16276262
申请日:2019-02-14
Applicant: Amazon Technologies, Inc.
Inventor: Jessica Emily Arfaa , Ashley Brooke Caringer , Vadim Bachmutsky , Eric C. Adams , Dylan Charles Kauling , Austin Meredith , Anirudhan Mukundan , Christopher J. Part , Alexander HL Poon , William Santo , John Patrick Stewart , Alberto Zubiri
Abstract: Techniques for live adaptive training in a production system are described. In an example, a training application executed on a workstation receives, based at least in part on an identifier of a user of the workstation, a training module and a trigger rule to present the training module. The training application exchanges, with a workstation application executed on the workstation, data about an event determined by the workstation application. The training application also determines a match between the trigger rule and the event. Based at least in part on the match, the training application initiates a presentation of the training module. In a further example, when the training module is presented, a transition rule may be used by the training application, based on an event from the workstation application, to determine a next training segment from the training module to present.
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公开(公告)号:US10810524B1
公开(公告)日:2020-10-20
申请号:US15985478
申请日:2018-05-21
Applicant: Amazon Technologies, Inc.
Inventor: Ioannis Giannakakis , Xiaoyu Zheng , Eric C. Adams , Salar Jahedi , Lillian S. Bleiman , Yi Huang , Patrick Ludvig Bajari , Eric Walter Zivot , Margret Steele , Ian Wallace , Jin Lai
Abstract: Features related to a system and method for dynamic resource prediction simulation are described. The predictions consider historical data collected by the organization or user revisions to planning inputs to predict the amount of a resource needed for a certain task and the amount of the resource able to perform the tasks. The system and method displays the predictions in a visual representation including control elements allowing a user to simulate a variety of scenarios and situations to allow the organization to properly reallocate resources or acquire an appropriate amount of the resource.
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