International Business Machines Corporation

Jonathan Tristan O'Gorman

Lisa Seacat DeLuca

Jonathan D Dunne

Alessandro Donatelli

Anamitra Bhattacharyya

Krishnamohan Dantam

Boris Dozortsev

Sarika Budhiraja

Yajin Zheng

Kyle Harding

Kavita Patil

Brian Russell Garrett

Disclosed are techniques for querying a digital twin marketplace for digital twins relevant to a work order and delivering said digital twins to a mobile computing device. A query for digital twins on a digital twin marketplace is generated using a workorder, followed by an availability assessment to determine the availability of the queried digital twins to a querying user. When a queried digital twin is available to the querying user, the queried digital twin is provided to a mobile computing device associated with the querying user. Querying and providing digital twins in this manner streamlines the determination and provision of digital twin assets to work order responders in-situ.

Providing digital twin assets based off of work orders

A computer implanted method of updating a user joining a group after a user-relevant topic has been discussed, the method includes, with a processor operatively-coupled to a memory: identifying the user joining group after a first topic has been discussed in the current session of the group; and determining interest of the user in the first topic, wherein if the first topic is determined to be of interest to the user, providing an automated summary of the first topic to the user.

Meeting management

A method of expert peer identification includes receiving, from a user, a request for an expert peer for an asset type, and obtaining asset interaction data relevant to the request including a list of assets, and, for each asset on the list, values for each of a set of pre-defined interaction categories for each worker that has interacted with the asset. The method further includes, for each asset on the list, respectively multiplying the interaction category values by a corresponding set of category weights to obtain a set of weighted interaction values, and, for each worker, processing the sum of their weighted interaction values to obtain an overall centrality measure. The method also includes selecting one of the workers as the expert peer based, at least in part, on their overall centrality measure, and identifying the expert peer to the user.

Asset management expert peer identification

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Cork, Ireland

Jonathan Tristan O'Gorman