Unstructured Data Pipeline Using Vectorization for Real-Time Analysis

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Solution Overview

Problem

Unstructured data is challenging to process in real-time due to its lack of a predefined data model, making it difficult to organize, analyze, and manage efficiently, especially in traditional database systems, and standardization processes risk stripping essential attributes.

Innovation Solution

Systems and methods for real-time data processing of unstructured data without interstitial standardization, involving vectorization and artificial intelligence models to determine relationships, content, and generate user-specific notifications directly from unstructured data.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If unstructured data is standardized into structured data during data intake, then real-time processing and analysis become easier, but essential attributes of the content are stripped away

Engineering Contradiction:

Improvereal-time processing capabilityVSAvoidcontent attributes

Core Design Contradiction:

Ease of operationVSLoss of information

Solution Approach 1:

The patent introduces an intermediary processing layer that includes a parser to extract content from unstructured data and a vectorizer to convert extracted content into vector representations. This intermediary layer enables real-time processing of unstructured data without complete standardization, preserving essential attributes while making the data analyzable through vector operations and AI models.

Inventive Principle:

Principle #24Intermediary (Mediator)

2Device complexity

If traditional database systems are used to process unstructured data, then data organization becomes simpler, but processing efficiency and real-time analysis capability deteriorate

Engineering Contradiction:

Improvedata organization simplicityVSAvoidreal-time processing efficiency

Core Design Contradiction:

Device complexityVSProductivity

Solution Approach 1:

The patent replaces traditional mechanical database storage and query systems with a vector-based processing system. Unstructured data is converted into vector representations that can be processed by AI models and neural networks, enabling real-time analysis while maintaining simplified data organization through the vector space model.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

3Loss of information

If unstructured data is processed without standardization, then content attributes are preserved, but processing difficulty and system complexity increase

Engineering Contradiction:

Improveattribute preservationVSAvoidprocessing system complexity

Core Design Contradiction:

Loss of informationVSDevice complexity

Solution Approach 1:

The patent segments the processing of unstructured data into distinct components: a parser that extracts content from various unstructured formats, a vectorizer that converts extracted content into numerical vectors, and AI models that process the vectors. This segmentation reduces overall system complexity by breaking down the challenging task of unstructured data processing into manageable, specialized modules.

Inventive Principle:

Principle #1Segmentation

Data Source

PatentUS20250371055A1Systems and methods for real-time data processing of unstructured data

Publication Date: 2025.12.04 CITIBANK N A

AI summary

Systems and methods for novel approaches and/or improvements to real-time data processing of unstructured data. In particular, the systems and methods describe real-time data processing of unstructured data without interstitial standardization. For example, the systems and methods describe real-time data processing of unstructured data in which both the input and the output to the data processing pipeline is unstructured data.