Enterprise deployment framework with artificial intelligence/machine learning

A method comprises managing multiple tasks of multiple entities associated with a deployment of a software program with a deployment framework comprising a machine learning module configured to assist with managing the multiple tasks of the multiple entities. The managing step comprises tracking a s...

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Bibliographische Detailangaben
Hauptverfasser: Dinh, Hung, Roy, Baishali, Geetanjali, Shivangi, Sekhar, Panguluru Vijaya, Kumari, Sweta, Panda, Sashibhusan, Tiwari, Lakshman Kumar, K, Sowmya, Tripathy, Antarlina, Khare, Yash, Srinivasan, Seshadri, Parhi, Shishir Kumar, Datta, Sourav
Format: Patent
Sprache:eng
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Zusammenfassung:A method comprises managing multiple tasks of multiple entities associated with a deployment of a software program with a deployment framework comprising a machine learning module configured to assist with managing the multiple tasks of the multiple entities. The managing step comprises tracking a status of one or more of the multiple tasks, and predicting a time taken for a given one of the multiple entities to complete a given one of the multiple tasks.