AT&T Intellectual Property I, LP

Michael Roybal

Joseph Conard

Thomas Joseph Pitassi

Jennifer Songer

Thomas J Pitassi

Michael Morgan

A scalable integrated information system in a network environment, the system comprising: an agent instantiated as a virtual machine or virtual network function, the agent configured to communicate with the network environment, the network environment comprising a meta data inventory; a data store comprising a central metadata repository, the central metadata repository configured to communicate with the network environment and selectively retrieve the meta data inventory, wherein the central metadata repository stores an integrated context representation comprising at least one of a real-time temporal context, a historical context, and a meta context associated with the meta data inventory; a reasoning module instantiated as a virtual machine or virtual network function and including an input configured to receive a reasoning concept; a machine learning module, instantiated as a virtual machine or virtual network function and configured to communicate with the central metadata repository to selectively retrieve the integrated context representation, wherein the machine learning module communicates with the reasoning module to develop a reasoning model configured to associate the reasoning concept with the integrated context representation; and wherein the agent communicates with the data store to retrieve the integrated context representation and communicates with the reasoning module to retrieve the reasoning model to develop an action and wherein the agent implements the action within the environment.

Scalable integrated information structure system

Methods, non-transitory computer readable media and devices are disclosed for caching data associated with a second state in a customer service interaction call flow when a first state in the customer service interaction call flow is reached. For example, a method includes a processor for initiating a customer service transaction associated with a customer service interaction flow in response to a communication from a user, determining that a first state in the customer service interaction flow is reached during the customer service transaction, calculating that a likelihood of needing data associated with a second state in the customer service interaction flow during the customer service transaction exceeds a threshold, retrieving, from a data store, data associated with the second state, and storing data associated with the second state in a cache.

Growing community of inventors

Woodinville, WA, United States of America

Michael Roybal