Abstract: Methods, computer program products, and systems are presented. The method computer program products, and systems can include, for instance: parameterizing with training data one or more model that expresses, for a set of historical activities, a known outcome as a function of a plurality of factors, the plurality of factors including one or more activity factor and a worker factor; solving the one or more model to learn by machine learning values of the worker random effect vector associated to the set of historical activities, wherein the values of the worker random effect vector provide an indication of learned worker skill level for respective workers identified by the worker identifiers; and providing, by the one or more processor, one or more output based on the solving.

Abstract: Methods, computer program products, and systems are presented. The method computer program products, and systems can include, for instance: parameterizing with training data one or more model that expresses, for a set of historical activities, a known outcome as a function of a plurality of factors, the plurality of factors including one or more activity factor and a worker factor; solving the one or more model to learn by machine learning values of the worker random effect vector associated to the set of historical activities, wherein the values of the worker random effect vector provide an indication of learned worker skill level for respective workers identified by the worker identifiers; and providing, by the one or more processor, one or more output based on the solving.

Abstract: Automatic identification of experts and areas of expertise in an organization is provided. An analysis processing engine retrieves data from various data repositories, preprocesses the data, and employs algorithms for recognition of words and phrases from which a top number of phrases are selected as areas of expertise. The analysis processing engine stores the selected areas of expertise in a graph structure. Once one or more areas of expertise are identified and stored in the graph structure, the analysis processing engine queries the graph structure for identification and ranking of experts on the one or more areas of expertise. Bidirectional graph edges are added between the areas of expertise nodes and the corresponding experts of the areas of expertise such that both targeted and exploratory queries are enabled.