AI Solution Distribution via Use Case Segmentation
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Solution Overview
Problem
Traditional AI solutions for business problems require manual data wrangling and complex logic development, making it challenging to reproduce and run machine learning models across different systems, and often result in lengthy custom solutions without insight into their optimality.
Innovation Solution
A method that divides complex business problems into subproblems, using an AI crowdsourcing platform to create and combine solutions through reusable use cases, leveraging automated robots and expert contributions for optimal results.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional AI solutions use manual data wrangling and complex business logic, then custom-made solutions can be created, but the development time is lengthy and reproduction across systems is challenging
Solution Approach 1:
The patent segments complex business problems into multiple use cases that can be independently developed and reused. Each use case represents a discrete functional unit that can be created once and then replicated across different systems and problems, eliminating the need to rebuild entire solutions from scratch while maintaining adaptability.
Solution Approach 2:
The patent enables copying of use cases between different systems and problems. Once a use case is developed, it can be copied and adapted to similar business scenarios, significantly reducing development time while preserving the ability to create custom solutions for unique requirements.
2Device complexity
If traditional AI solutions require manual steps in specific order, then complex business logic can be achieved, but the system complexity increases and automation becomes difficult
Solution Approach 1:
The patent enables automated robots to independently execute use cases without requiring manual intervention at each step. The system is designed so that robots can self-service by selecting and executing appropriate use cases based on problem inputs, reducing the need for manual steps while managing complexity through standardized use case structures.
Solution Approach 2:
The patent creates universal use cases that can serve multiple functions across different problems and systems. Each use case is designed to be multi-functional, handling various business logic requirements through a standardized framework, which reduces overall system complexity while enabling automation.
3Adaptability or versatility
If traditional AI solutions are developed by small teams, then custom solutions can be created, but the time to arrive at optimal solutions is extended
Solution Approach 1:
The patent enables preliminary development and validation of use cases that can be reused across multiple problems. By preparing use cases in advance and making them available in a library, the system allows rapid deployment without requiring small teams to develop everything from scratch, significantly increasing productivity while maintaining custom solution capability.
Solution Approach 2:
The patent merges the capabilities of multiple use cases to solve complex business problems. Instead of requiring small teams to develop entirely custom solutions, the system combines pre-developed use cases through orchestration, achieving both adaptability and increased productivity by leveraging collective intelligence from multiple reusable components.
Data Source
AI summary
Aspects of the subject disclosure may include, for example, a non-transitory, machine-readable medium, comprising executable instructions that, when executed by a processing system including a processor, facilitate performance of operations including selecting modeling logic for an artificial intelligence (AI) model that solves a use case of a plurality of use cases; executing the AI model using holdout data to obtain a sub-result; evaluating the sub-result based on an evaluation metric; and combining the sub-result with other sub-results of the plurality of use cases to determine whether an exit criteria has been met. Other embodiments are disclosed.