AI-based system and method for establishing channelized communications
AI-based system for establishing channelized communications and resource management for an organization. The system includes: a processor of a channel server node connected to an organization network; a memory on which are stored machine-readable instructions that when executed by the processor, cause the processor to: monitor the at least one organization network to collect analytics data comprising workflow data, generate a plurality of classifiers based on the analytics data, the plurality of classifiers comprising data reflecting nodes and associated pivot objects of the at least one organization network, feed the plurality of classifiers to an AI/ML module configured to output configuration parameters for at least one communication channel; and generate the at least one communication channel for the at least one organization network based on the configuration parameters.
1. A system, comprising:
a processor of a channel server node connected to at least one organization network;
a memory on which are stored machine-readable instructions that when executed by the processor, cause the processor to:
monitor the at least one organization network to derive workflow data,
generate a plurality of critical entities based on the workflow data, the plurality of critical entities comprising data reflecting nodes and associated pivot objects of the at least one organization network, wherein each node is associated to one or more stakeholder classes,
generate at least one communication channel for each of the plurality of critical entities, at least one communications channel enabling a communication with at least one of the following:
a stakeholder class, and
another critical entity;
monitor activity associated with each critical entity within the at least one organization network;
feed the plurality of critical entities to an artificial intelligent or machine learning (AI/ML) module configured to:
receive an indication of a modification to at least one parameter associated with a critical entity,
determine the stakeholder class relevant to the modification,
generate content to the at least one communication channel associated with the relevant stakeholder class, the content being associated with the monitored activity, and
transmit the content via the at least one communications channel to the relevant stakeholder class.
2. The system of claim 1 , wherein the instructions further cause the processor to configure the at least one communication channel to provide operative communication of data between the nodes and the associated pivot objects based on the workflow data.
3. The system of claim 1 , wherein the instructions further cause the processor to query communication workflow records of the at least one organization network to retrieve communication data of the at least one organization network.
4. The system of claim 3 , wherein the instructions further cause the processor to feed the communication data into the AI/ML module for generation of at least one communication predictive model.
5. The system of claim 1 , wherein the instructions further cause the processor to monitor the pivot objects to detect changes in pivot object properties.
6. The system of claim 5 , wherein the instructions further cause the processor to, responsive to a detection of the changes in the pivot object properties, provide the changes to the AI/ML module configured to generate reconfiguration parameters for at least one communication channel associated with the pivot object.
7. The system of claim 6 , wherein application of the reconfiguration parameters to the at least one communication channel causes any of:
addition of nodes associated with the pivot object; and
elimination of nodes no longer associated with the pivot object.
8. The system of claim 1 , wherein the instructions further cause the processor to configure the at least one communication channel based on previously collected channel configuration data retrieved from a channel configuration database.
9. The system of claim 1 , wherein the instructions further cause the processor to record channel configuration data of the at least one communication channel to an enterprise management system.
10. The system of claim 1 , wherein the instructions further cause the processor to identify pivot points corresponding to the pivot objects and provide the pivot points to the AI/ML module for generation of at least one predictive model of communication among the nodes based on association of the nodes with the pivot points.
11. The system of claim 1 , wherein the instructions further cause the processor to:
monitor a current workflow of the at least one organization network in real-time; and
feed current workflow data to the AI/ML module configure to output configurations for a plurality of communication subchannels based on the current workflow.
12. A non-transitory computer readable medium comprising a set of instructions which, when executed by a computer, perform a method, the method comprising:
monitoring the at least one organization network to derive workflow data;
generating a plurality of critical entities based on the workflow data, the plurality of critical entities comprising data reflecting nodes and associated pivot objects of the at least one organization network,
wherein each node is associated to one or more stakeholder classes, and
wherein each pivot object is configured to be operative through a workflow within the organizational network;
generating at least one communication channel for each of the plurality of critical entities, least one communications channel enabling a communication with at least one of the following:
a stakeholder class interested in a first pivot object's progress through the workflow, and
another critical entity comprising at least one second pivot object operatively associated with the first pivot object in the workflow;
monitoring activity associated with at least one critical entity within the at least one organization network;
receiving an indication of a modification to at least one parameter associated with the first pivot object associated with the at least one critical entity, wherein the at least one parameter comprises at least one of the following:
a modification to the first pivot object, and
a progression of the first pivot object through the workflow;
determining the stakeholder class relevant to the modification; and
generating content to the at least one communication channel associated with the relevant stakeholder class, the content being associated with the monitored activity, and
transmitting the content via the at least one communications channel to the relevant stakeholder class.
13. A method comprising:
monitor the at least one organization network to derive workflow data,
generate a plurality of critical entities based on the workflow data, the plurality of critical entities comprising data reflecting nodes and associated pivot objects of the at least one organization network, wherein each node is associated to one or more stakeholder classes,
generate at least one communication channel for each of the plurality of critical entities, at least one communications channel enabling a communication with at least one of the following:
a stakeholder class, and
another critical entity;
monitor activity associated with each critical entity within the at least one organization network;
feed the plurality of critical entities to an artificial intelligent or machine learning (AI/ML) module configured to:
receive an indication of a modification to at least one parameter associated with a critical entity,
determine the stakeholder class relevant to the modification,
generate content to the at least one communication channel associated with the relevant stakeholder class, the content being associated with the monitored activity, and
transmit the content via the at least one communications channel to the relevant stakeholder class.
14. The method of claim 13 , further comprising querying communication workflow records of the at least one organization network to retrieve communication data of the at least one organization network.
15. The method of claim 13 , monitoring the pivot objects to detect changes in pivot object properties.
16. The method of claim 15 , further comprising, responsive to a detection of the changes in the pivot object properties, providing the changes to the AI/ML module.
17. The method of claim 13 , further comprising identifying the critical entities corresponding to the pivot objects and providing the critical entities to the AI/ML module for generation of at least one predictive model of communication among the nodes based on association of the nodes with the critical entities.
18. The method of claim 13 , further comprising:
monitoring a current workflow of the at least one organization network in real-time; and
feeding current workflow data to the AI/ML module configure to output configurations for a plurality of communication subchannels based on the current workflow.