International Business Machines Corporation

Michal Mylek

Jinho Hwang

Larisa Shwartz

Michael Elton Nidd

Srinivasan Parthasarathy

Frank Bagehorn

Qing Wang

Jakub Krchák

Ota Sandr

Altynbek Orumbayev

Tomás Ondrej

Michael Nidd

Tomas Ondrej

Jakub Krchak

Embodiments of the present invention provide methods, computer program products, and systems. Embodiments of the present invention can dynamically determine one or more endpoints to fulfill a user request. Embodiments of the present invention can select the dynamically determined one or more endpoints as the one or more endpoints that fulfill the user request. Embodiments of the present invention can execute the selected one or more endpoints to fulfill the user request.

Just in time assembly of transactions

In an approach to linking operational data with issues, a new event is received. The new event is associated to a story, where the story is related to an identified problem within the system, and further where the new event is associated with the story using machine learning techniques. The story is associated to related change requests based on a similarity between the story and related change requests, where the similarity between the story and the related change requests is associated using the machine learning techniques. A cost is calculated for the story. Responsive to associating the new event with a specific change request, the priority of the specific change request is updated based on the cost for the story.

Linking operational events with system changes

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Prague, Czechia

Michal Mylek