US 11,989,678 B2
System using artificial intelligence and machine learning to determine an impact of an innovation associated with an enterprise
Ramkumar Kothandaraman, Bangalore (IN); Raghavan Tinniyam Iyer, Bangalore (IN); Puneet Kalra, Pune (IN); Bhavna Butani, Gurgaon (IN); Sudeep Sharma, Bangalore (IN); Ankita Kaushal, Bangalore (IN); and Suja Jain, Bangalore (IN)
Assigned to Accenture Global Solutions Limited, Dublin (IE)
Filed by Accenture Global Solutions Limited, Dublin (IE)
Filed on Jan. 3, 2022, as Appl. No. 17/567,382.
Claims priority of application No. 202141024719 (IN), filed on Jun. 3, 2021.
Prior Publication US 2022/0391814 A1, Dec. 8, 2022
Int. Cl. G06Q 10/06 (2023.01); G06F 40/40 (2020.01); G06N 20/20 (2019.01); G06Q 10/0637 (2023.01); G06Q 10/10 (2023.01)
CPC G06Q 10/06375 (2013.01) [G06F 40/40 (2020.01); G06N 20/20 (2019.01)] 20 Claims
OG exemplary drawing
 
1. A method, comprising:
receiving, by a device, a submission associated with an innovation associated with an entity,
wherein the device comprises a first layer that interfaces with one or more second layers to generate a report based on one or more machine learning models, and
wherein the device further comprises a third layer that is configured to be an interface with:
an enterprise reference data structure from which historical data associated with a plurality of innovations, that are associated with the entity, are received, or
a resource management data structure, for identifying available resources, that performs virtualization of computer hardware to create one or more virtual computing systems,
wherein the virtualization creates a plurality of isolated virtual computing systems from the computer hardware that is associated with a single computing device;
analyzing, by the device and using a first machine learning model, the submission to identify a classification associated with the innovation, wherein the first machine learning model is trained based on the historical data;
analyzing, by the device and using a second machine learning model in association with the classification, content of the submission to identify a characteristic of the innovation, wherein the second machine learning model is trained based on a subset of the historical data that is associated with a subset of the plurality of innovations that are associated with the classification;
determining, by the device and using a third machine learning model and based on the characteristic, a ranking of the innovation relative to individual innovations in the subset of innovations;
determining, by the device and using a fourth machine learning model, an impact score associated with the innovation, wherein the impact score is determined based on the ranking and an impact parameter associated with the classification; and
performing, by the device and based on the impact score satisfying a threshold, an action associated with a project involving the innovation.