Digital Automation Platform for Target Property Search and Anomaly Detection
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Solution Overview
Problem
Existing digital environments are complex and costly to maintain, requiring specialized knowledge and resources for automation, scaling, and change implementation, with existing automation systems being similarly complex and difficult to manage.
Innovation Solution
An automation platform that searches for target properties of computing platforms using pre-configured parameters to execute commands, allowing for robust automation and anomaly detection across diverse environments, reducing the need for specialized knowledge and resources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automation systems are implemented in complex digital environments, then operational efficiency is improved, but system complexity and maintenance difficulty increase
Solution Approach 1:
The patent segments the complex digital environment into discrete, identifiable target properties that can be independently searched and automated. By breaking down the automation task into property-specific operations, the system manages complexity through modular organization rather than monolithic design.
Solution Approach 2:
The patent introduces target properties as intermediary elements between the automation system and the complex digital environment. These properties serve as standardized interfaces that simplify interaction with underlying system complexity, allowing automation without requiring deep understanding of the complex environment.
2Reliability
If specialized knowledge is used to manage complex digital environments, then system reliability is improved, but cost and accessibility worsen
Solution Approach 1:
The patent enables the automation system to self-adapt by automatically searching for and learning target properties from the digital environment. This self-service capability reduces reliance on specialized human knowledge while maintaining reliability, as the system autonomously acquires the expertise needed to operate effectively.
Solution Approach 2:
The patent transforms specialized knowledge into searchable parameter patterns (target properties) that can be automatically identified and applied. By converting expert knowledge into systematic parameter searches, the system maintains reliability while reducing dependence on expensive specialized personnel.
3Reliability
If comprehensive evaluation is performed across complex systems, then automation robustness is improved, but resource consumption increases
Solution Approach 1:
The patent performs preliminary searches to identify target properties before executing automation operations. By pre-configuring and caching property information, the system avoids redundant comprehensive evaluations during actual automation tasks, reducing computing resource consumption while maintaining robustness.
Solution Approach 2:
The patent performs targeted searches for specific target properties rather than comprehensive system-wide evaluations. This partial action approach focuses computational resources on relevant properties only, achieving sufficient robustness without the excessive resource consumption of complete system analysis.
Data Source
AI summary
A device, method, and computer readable medium for automating processes in digital environments. Illustratively, the method includes providing an instruction to implement at least one operation on a target computing platform. The method includes executing one or more commands to search for one or more locations of the target computing platform to determine a target property. The one or more commands search based on at least one pre-configured parameter of a plurality of pre-configured parameters for searching computing platforms. The method includes determining (e.g., using machine learning) at least one automated command to execute based on the determined target property of the target computing platform and the at least one operation. The at least one automated command is selected from an automated command repository for detecting anomalies in digital environments. The method includes executing the determined at least one automated command to detect anomalies.