Certified Skill Matching for Secure Cloud Project Task Allocation
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Solution Overview
Problem
Existing digital platforms lack standardized certification and tagging, leading to inefficiencies in networking complexity and collaboration, particularly in project-driven interactions, and rely on unverified user data for task assignments.
Innovation Solution
A digital platform providing controlled project-driven networking interaction with certified cross-network access, utilizing machine-based matching structures to assign tasks to deployment units based on skill certifications and relationship-based access, ensuring secure, cloud-based communication and collaboration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If unverified user data is used for task assignments, then networking complexity is reduced, but collaboration reliability deteriorates
Solution Approach 1:
The system performs preliminary verification of user skills and certifications before task assignment. The certification module pre-validates deployment unit qualifications against task requirements, ensuring that only verified users are assigned tasks, thus maintaining collaboration reliability without increasing networking complexity during execution
Solution Approach 2:
The patent introduces a certification module as an intermediary between task requirements and deployment units. This intermediary verifies and validates user qualifications independently, acting as a trusted mediator that ensures collaboration reliability while keeping the overall networking structure manageable
2Productivity
If standardized certification and tagging are implemented, then collaboration efficiency is improved, but platform complexity increases
Solution Approach 1:
The system changes the parameter of user data from unverified to certified by implementing standardized certification attributes. The certification module validates and tags deployment units with verified skill parameters, enabling efficient matching and collaboration while maintaining manageable platform complexity through structured parameter management
Solution Approach 2:
The patent segments the platform functionality into distinct modules: task management, certification verification, and deployment unit management. This segmentation allows standardized certification and tagging to be implemented in the verification module without overwhelming the entire platform, improving collaboration efficiency while containing platform complexity
3Measurement precision
If machine-based matching structures are used for task assignment, then task assignment accuracy is improved, but processing time increases
Solution Approach 1:
The system performs preliminary matching of deployment units to tasks based on verified certification data before final assignment. The machine-based matching structure pre-evaluates compatibility between task requirements and deployment unit skills, ensuring accurate assignments while reducing actual processing time during task execution
Solution Approach 2:
The certification module provides feedback on deployment unit qualifications to the matching structure. This feedback mechanism enables the machine-based matching to quickly assess suitability without extensive processing, improving task assignment accuracy while minimizing processing time through informed decision-making
Data Source
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AI summary
Intelligent digital platform (1) for providing controlled process-driven networking interaction and project (41, 42, …, 4i) development with automated task allocation between units (2/3) having network-enabled devices on a secured cloud- based network (5/51, 52, …, 5i). Each unit has a unit or user (2/3) account in the digital networking platform (1) with authentication and authorization controlled network access (5) to the digital cross-network platform (1) and the secured cloud-based network (5). Each project (41, 42, …, 4i) has an assigned relationship (1121,1122,…,112i) with one or more units (2/3) comprised in a data warehouse (112) of the digital networking platform (1), wherein each assigned relationship provides a defined relationship (1121,1122,…,112i) between the one or more units (2/3), one or more selectable tasks (1111, 1112, …, 111i) and the project (41, 42,…,4i). A task selector (11) comprises a machine-learning-based matching structure (112), wherein appropriate skill certifications (1511,1512,…,151i) are determined to perform a specific task (111i) associated with a project (10i) by means of the machine-learning-based matching structure (112), At least one deployment unit (31,32,..,3i) is determined based on the determined skill certifications (1511,1512,…,151i) needed and additional trigger criteria comprising at least location of the operating unit (21,22,…,2i) of the submission data (1211,…, 121i) and location of available deployment unit (31,32,…,3i).