Technical Language Processor for IT Data Compression

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Solution Overview

Problem

Current systems face challenges in processing, storing, and analyzing vast amounts of data associated with information technology operational activities, struggling to evaluate interdependencies and technical language processing effectively, leading to inefficiencies in data storage and retrieval.

Innovation Solution

A computerized system that performs operational data processing, technical language processing, categorical data encoding, and dynamic data decoding to evaluate interdependencies, reduce storage requirements, and enhance data retrieval efficiency by transforming descriptive data into binary values and encoding records for compression.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Quantity of substance

If existing systems process and store massive amounts of data associated with information technology operational activities, then data storage capacity increases, but memory requirements and processing time increase significantly

Engineering Contradiction:
Improvedata storage capacityVSAvoidmemory requirements
Core Design Contradiction:
Quantity of substanceVSLoss of energy

Solution Approach 1:

The patent transforms descriptive data parameters into categorical encoded parameters. By changing the state of data from descriptive text to coded numerical representations, the system achieves significant compression of storage requirements while maintaining the ability to retrieve and analyze the original information when needed.

Inventive Principle:
Principle #35Parameter changes

Solution Approach 2:

The system creates encoded copies of the original descriptive data. Instead of storing only the original descriptive records, the patent generates categorical encoded versions that serve as compressed representations, allowing efficient storage and retrieval without losing the ability to access the full information content when required.

Inventive Principle:
Principle #26Copying

2Loss of information

If existing systems store detailed descriptive data records, then data completeness is maintained, but data retrieval and processing time increase

Engineering Contradiction:
Improvedata completenessVSAvoiddata retrieval time
Core Design Contradiction:
Loss of informationVSLoss of time

Solution Approach 1:

The patent performs preliminary encoding of descriptive data into categorical forms before retrieval operations. By pre-processing the data into encoded categories, the system prepares the information in advance for efficient querying and analysis, reducing the time required for data retrieval and processing while maintaining access to complete information when needed.

Inventive Principle:
Principle #10Preliminary action

3Productivity

If the system processes vast amounts of operational data, then evaluation capability improves, but system complexity increases

Engineering Contradiction:
Improveevaluation capabilityVSAvoidsystem complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The patent segments the complex processing task into distinct stages: descriptive data input, categorical encoding, encoded data storage, and decoded analysis. By dividing the overall system into these functional segments, the patent reduces system complexity while maintaining comprehensive evaluation capability, as each segment handles a specific aspect of the data processing workflow.

Inventive Principle:
Principle #1Segmentation

Data Source

PatentUS10387230B2Technical language processor administration
Publication Date: 2019.08.20 BANK OF AMERICA CORP
  • US10387230B2 patent drawing
  • US10387230B2 patent drawing
  • US10387230B2 patent drawing

AI summary

Embodiments of the present invention relate to apparatuses, systems, methods and computer program products for a technology configuration system. Specifically, the system typically provides operational data processing of a plurality of records associated with information technology operational activities, for dynamic transformation of data and evaluation of interdependencies of technology resources. In other aspects, the system typically provides technical language processing of the plurality of records for transforming technical and descriptive data, and constructing categorical activity records. The system may be configured to achieve significant reduction in memory storage and processing requirements by performing categorical data encoding of the plurality of records. The system may employ a dynamic categorical data decoding process, which delivers a reduction in processing time when the encoded records are decoded for evaluating the exposure of technology change events to technology incidents and modifying such technology change events.