Self-learning automated information technology change risk prediction
US-2024414064-A1 · Dec 12, 2024 · US
US9928482B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-9928482-B2 |
| Application number | US-61418406-A |
| Country | US |
| Kind code | B2 |
| Filing date | Dec 21, 2006 |
| Priority date | Dec 21, 2006 |
| Publication date | Mar 27, 2018 |
| Grant date | Mar 27, 2018 |
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Embodiments of the present invention address deficiencies of the art in respect to meta-data management for an activity thread in an activity-centric collaborative environment, and provide a novel and non-obvious method, system and computer program product for private metadata integration. In one embodiment of the invention, a private meta-data integration method can be provided for an activity-centric collaborative environment. The method can include selecting an activity thread for display to a collaborator in an activity map of the activity-centric collaborative environment, and identifying the collaborator. For meta-data instances associated with corresponding activity objects in the activity thread, the meta-data instances can be excluded that have been marked private by a creator other than the identified collaborator.
Opening claim text (preview).
We claim: 1. A private meta-data integration method for an activity-centric collaborative environment, the method comprising: generating in an activity centric collaborative environment, a multiplicity of activity threads, each comprising a multiplicity of activity objects each comprising each of messages, chats and files exchanged among members of a team collaborating in a group project; associating each of the activity objects of the threads with corresponding meta-data indica…
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