Interactive Infrastructure Management System for Dynamic Instruction Curation
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Solution Overview
Problem
Existing data infrastructure management systems face challenges in optimizing computer performance and data availability due to outdated instructions and terminology changes in chat interfaces, which can lead to inefficiencies in resolving computer issues and providing services.
Innovation Solution
An interactive infrastructure management system based on a chat interface that uses cognitive systems like IBM Watson for curating, training, and presenting infrastructure management commands and data, allowing seamless integration of changes through natural language processing, enabling system administrators to edit and propagate instructions effectively.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional data infrastructure management systems use fixed chat interface instructions, then system stability is maintained, but the system becomes outdated and less accurate when terminology or commands change
Solution Approach 1:
The patent implements a dynamic instruction system where chat interface instructions are no longer static but can be continuously updated and refined. The system allows administrators to modify data instructions, commands, and terminology in response to changing infrastructure management requirements, ensuring the system remains both reliable and adaptable to new scenarios.
Solution Approach 2:
The system enables administrators to self-service the updating and curation of chat interface instructions without requiring system reconfiguration or deployment. Through the chat interface itself, administrators can add, edit, and propagate instruction changes directly, making the system self-updating and highly adaptable while maintaining operational reliability.
2Adaptability or versatility
If the system allows frequent updates to chat interface instructions, then adaptability improves, but system complexity and difficulty of management increase
Solution Approach 1:
The patent introduces an instruction curation layer that acts as an intermediary between administrators and the chat interface system. This curation mechanism simplifies the management of updates by providing structured processes for adding, editing, and propagating instructions, reducing the complexity burden on administrators while maintaining high adaptability.
Solution Approach 2:
The chat interface serves multiple functions: it is both the user interaction channel and the administration interface for updating instructions. The same interface used by end-users for infrastructure management queries is also used by administrators to curate and update data instructions, eliminating the need for separate complex management systems and reducing overall device complexity.
3Ease of operation
If the system uses natural language processing for chat interface, then ease of operation improves, but difficulty of detecting and measuring accuracy increases
Solution Approach 1:
The patent implements feedback mechanisms where the system continuously monitors and evaluates the performance of natural language processing responses. Administrators can provide feedback on response accuracy, and the system uses this feedback to refine and improve NLP capabilities, making it easier to detect and measure accuracy over time while maintaining ease of operation.
Data Source
AI summary
A method for providing an interactive infrastructure management system based on a chat interface is provided. The method may include receiving a first operation query via a first infrastructure management chat interface associated with an infrastructure management system. The method may include providing first data instructions using the first infrastructure management chat interface in response to the first operation query. The method may include generating a second infrastructure management chat interface associated with the infrastructure management system to edit and train the infrastructure management system based on the provided first data instructions. The method may include editing the provided first data instructions associated with the first operation query to train the infrastructure management system to respond to the first operation query. The may further include propagating the edited first data instructions to one or more second data instructions associated with a second operation query related to the first operation query.


