System, method, and computer program for using generative artificial intelligence for telecommunication operations
AssigneeAmdocs Development Limited
InventorsRahul Golhar, Dhanjeet Singh, Praveen Shukla, Pallavi Jain
Life of this patent
Estimating the term…
Abstract
As described herein, a system, method, and computer program are provided for using generative artificial intelligence for telecommunication operations. Historical call center data of a particular telecommunications provider is processed by a generative artificial intelligence model to generate at least one analytical report associated with telecommunications operations of the particular telecommunications provider. The at least one analytical report is output.
Claims12
A non-transitory computer-readable media storing computer instructions which when executed by one or more processors of a device cause the device to:
- access historical call center data of a particular telecommunications provider, the historical call center data including semantic content of customer communications with a call center of the particular telecommunications provider;
- process, by a generative artificial intelligence model, the semantic content of the customer communications with the call center to generate at least one analytical report associated with telecommunications operations within a network of the particular telecommunications provider, the at least one analytical report indicating:
- network issues faced by the customers with respect to the telecommunications operations, and
- changing network usage patterns;
- execute an automated process to integrate the at least one analytical report with a plurality of network management systems to proactively optimize network performance based at least in part on the network issues and the changing network usage patterns;
- process the at least one analytical report, by a network parameter adjustment engine of the plurality of network management systems, to automatically fine-tune network settings including at least one of:
- adjusting bandwidth allocation,
- modifying quality of service (QoS) parameters, or
- reconfiguring routing protocols;
- process the at least one analytical report, by a resource allocation optimization engine of the plurality of network management systems, to dynamically shift network resources including at least one of:
- reallocating spectrum in the network,
- adjusting cloud computing resources for network functions, or
- modifying content delivery network (CDN) caching strategies;
- process the at least one analytical report, by a predictive maintenance scheduler engine of the plurality of network management systems, to forecast potential equipment failures and at least one of:
- schedule preventive maintenance, or
- optimize technician dispatch.
A method, comprising:
- at a computer system:
- accessing historical call center data of a particular telecommunications provider, the historical call center data including semantic content of customer communications with a call center of the particular telecommunications provider;
- processing, by a generative artificial intelligence model, the semantic content of the customer communications with the call center to generate at least one analytical report associated with telecommunications operations within a network of the particular telecommunications provider, the at least one analytical report indicating:
- network issues faced by the customers with respect to the telecommunications operations, and
- changing network usage patterns;
- executing an automated process to integrate the at least one analytical report with a plurality of network management systems to proactively optimize network performance based at least in part on the network issues and the changing network usage patterns;
- processing the at least one analytical report, by a network parameter adjustment engine of the plurality of network management systems, to automatically fine-tune network settings including at least one of:
- adjusting bandwidth allocation,
- modifying quality of service (QoS) parameters, or
- reconfiguring routing protocols;
- processing the at least one analytical report, by a resource allocation optimization engine of the plurality of network management systems, to dynamically shift network resources including at least one of:
- reallocating spectrum in the network,
- adjusting cloud computing resources for network functions, or
- modifying content delivery network (CDN) caching strategies;
- processing the at least one analytical report, by a predictive maintenance scheduler engine of the plurality of network management systems, to forecast potential equipment failures and at least one of:
- schedule preventive maintenance, or
- optimize technician dispatch.
A system, comprising:
- a non-transitory memory storing instructions;
- and
- one or more processors in communication with the non-transitory memory that execute the instructions to:
- access historical call center data of a particular telecommunications provider, the historical call center data including semantic content of customer communications with a call center of the particular telecommunications provider;
- process, by a generative artificial intelligence model, the semantic content of the customer communications with the call center to generate at least one analytical report associated with telecommunications operations within a network of the particular telecommunications provider, the at least one analytical report indicating:
- network issues faced by the customers with respect to the telecommunications operations, and
- changing network usage patterns;
- execute an automated process to integrate the at least one analytical report with a plurality of network management systems to proactively optimize network performance based at least in part on the network issues and the changing network usage patterns;
- process the at least one analytical report, by a network parameter adjustment engine of the plurality of network management systems, to automatically fine-tune network settings including at least one of:
- adjusting bandwidth allocation,
- modifying quality of service (QoS) parameters, or
- reconfiguring routing protocols;
- process the at least one analytical report, by a resource allocation optimization engine of the plurality of network management systems, to dynamically shift network resources including at least one of:
- reallocating spectrum in the network,
- adjusting cloud computing resources for network functions, or
- modifying content delivery network (CDN) caching strategies;
- process the at least one analytical report, by a predictive maintenance scheduler engine of the plurality of network management systems, to forecast potential equipment failures and at least one of:
- schedule preventive maintenance, or
- optimize technician dispatch.
Dependencies are inferred from the claim text.