At&t Intellectual Property I, LP

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Abdulla Udaipurwala

Ivetta Pogosova

Fen Mei

Aspects of the subject disclosure may include, for example, obtaining first information indicative of one or more historical operating characteristics of a network; obtaining second information indicative of one or more current operating characteristics of the network; comparing, via a first computer-implemented process that requires no manual intervention, the first information to the second information to make a prediction of a potential future network event, resulting in a predicted future network event; classifying, via a second computer-implemented process that requires no manual intervention, the predicted future network event into one of a plurality of classes of network events; and responsive to the classifying, facilitating, via a third computer-implemented process that requires no manual intervention, an action to at least partially avoid an occurrence of the predicted future network event. Other embodiments are disclosed.

Predictive zero-touch network and systems reconciliation using artificial intelligence and/or machine learning

In one example, the present disclosure describes a device, computer-readable medium, and method for minimizing customer impact during network access migrations. For instance, in one example, a method includes detecting a change in an access network that affects a first network circuit connecting a customer premises to a first provider edge router and provisioning a second network circuit in response to the detecting, wherein the provisioning comprises taking an action to preserve a wide area network internet protocol address of the customer premises on the first network circuit in the second network circuit.

Growing community of inventors

Schaumburg, IL, United States of America

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