| CPC G06Q 10/0637 (2013.01) [G06F 16/2465 (2019.01); G06N 7/01 (2023.01); G06N 20/00 (2019.01); G06Q 10/06393 (2013.01); G06Q 40/08 (2013.01)] | 20 Claims |
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1. An Artificial Intelligence (AI) based computing system for analyzing businesses data to make business decisions, the AI-based computing system comprising:
one or more hardware processors; and
a memory coupled to the one or more hardware processors, wherein the memory comprises a plurality of modules in the form of programmable instructions executable by the one or more hardware processors, wherein the plurality of modules comprises:
a data receiver module configured to receive a request from one or more users via one or more electronic devices to predict a set of insights associated with a business enterprise, wherein the request comprises: one or more business goals, current business data, department of the one or more users and data context;
a metric generation module configured to generate a set of Key Performance Indicators (KPIs) and metrics associated with the business enterprise based on the received request by using a data management-based AI model, wherein the data management-based AI model is generated based on performing steps comprises,
selecting one or more template files for storing within a predefined folder structure;
determining a plurality of AI models based on the one or more business goals, the current business data, the department of the one or more users, and the data context;
providing customized training to determined plurality of AI models based on a set of predefined templates and historical data from the predefined folder structure;
executing trained plurality of AI models using transfer learning technique with an open-source platform to provide expected outcomes;
comparing multiple versions of the expected outcomes of the plurality of AI models to evaluate performance of each AI model of the plurality of AI models; and
selecting the data management-based AI model from the plurality of AI models based on evaluated performance of each AI model of the plurality of AI models, wherein selected data management-based AI model is further packaged as a docker container through an open-source library:
a health determination module configured to determine health of the business enterprise based on the received request and the generated set of KPIs and metrics by using the data management-based AI model, wherein the health of the business enterprise represents current state of the business enterprise with respect to the one or more business goals;
an insight prediction module configured to predict the set of insights associated with the business enterprise based on the received request, the generated set of KPIs and metrics, the determined health of the business enterprise and one or more diagnosis parameters by using the data management-based AI model, wherein the one or more users utilizes predicted set of insights through optimization and simulation,
wherein the optimization is configured to optimize business processes associated with the business enterprise subject to one or more constraints, to optimize business outcomes,
wherein the simulation is configured to ascertain changes within the business enterprise in a time-variant manner, subject to non-linear interactions; and
a data output module configured to output the determined health of the business enterprise, the one or more diagnosis parameters and the predicted set of insights on user interface screen of the one or more electronic devices associated with the one or more users, wherein the one or more users make one or more business decisions based on the outputted health of the business enterprise, the one or more diagnosis parameters and the set of insights.
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