Workflow Engine Combines Learned Models for Software Coordination
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Solution Overview
Problem
Conventional systems face difficulties in coordinating software, development environments, and infrastructure to implement operating processes, making it challenging for users to flexibly execute software services without specialized engineering skills.
Innovation Solution
An information processing system that combines learned models, functions, and screens to create workflows, allowing users to select and combine models, functions, and screens through a user-friendly interface, enabling the execution of series information processes without requiring complex engineering expertise.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional systems are used to coordinate software and development environments, then data coordination among applications can be achieved, but the system complexity and burden on users increase significantly
Solution Approach 1:
The patent introduces a workflow engine as an intermediary component that mediates between applications, development environments, and infrastructure. This workflow engine handles the complex coordination tasks automatically, allowing users to define workflows at a higher abstraction level without directly managing the underlying complexity of software coordination, dependency management, and environment configuration.
Solution Approach 2:
The system segments the complex software coordination process into discrete workflow steps and components. Users can define workflows as sequences of manageable operations, and the system handles the coordination between these segments automatically. This segmentation allows complex coordination to be broken down into simple, user-friendly workflow definitions.
2Adaptability or versatility
If users implement operating processes with software services, then flexible execution can be achieved, but specialized engineering skills are required
Solution Approach 1:
The system provides pre-defined workflow templates and patterns that users can select and customize. These preliminary configurations handle the complex coordination tasks in advance, allowing users to implement operating processes by simply selecting and adapting pre-validated workflow patterns rather than creating coordination mechanisms from scratch.
Solution Approach 2:
The workflow engine performs self-service coordination automatically. Once users define their workflows at a high level, the system autonomously manages software coordination, dependency resolution, environment configuration, and execution orchestration. This eliminates the need for users to have specialized engineering skills for coordination tasks.
Data Source
AI summary
An information processing apparatus including processing circuitry configured to accept a plurality of learned models selected by a user, and a generating step of generating an information processing process by combining the plurality of learned models accepted in the model accepting step.