AI Sustainability Data Navigation for Query-Based Summarization
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Solution Overview
Problem
Entities face challenges in efficiently managing, navigating, and visualizing large volumes of complex sustainability data due to its complexity, making it difficult to retrieve, summarize, and visualize effectively.
Innovation Solution
A system that integrates computer vision and AI models to extract, split, and summarize sustainability data, allowing for efficient data management and navigation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If comprehensive sustainability data is collected from multiple sources, then the completeness and comprehensiveness of sustainability information is improved, but the complexity and difficulty of managing and navigating the data increases
Solution Approach 1:
The patent segments the sustainability data into multiple categories (environmental, social, governance) and further divides them into specific topics and sub-topics. This hierarchical segmentation allows the system to manage large volumes of data by organizing them into manageable chunks, reducing navigation complexity while maintaining comprehensive coverage.
Solution Approach 2:
The patent introduces an intermediary AI-based navigation system that acts as a mediator between users and the comprehensive sustainability data. This intermediary system automatically processes, organizes, and presents data based on user queries, reducing the burden on users to manually navigate through complex data structures.
2Device complexity
If sustainability data is organized into detailed categories and topics, then the structure and organization of data is improved, but the time required to access and navigate specific information increases
Solution Approach 1:
The patent implements self-service through AI-powered automated navigation that independently processes user queries and retrieves relevant sustainability data without requiring manual navigation through categorized structures. The system automatically interprets queries, searches appropriate categories, and presents results, eliminating time-consuming manual navigation while maintaining organized data structure.
Solution Approach 2:
The patent replaces mechanical manual navigation through hierarchical categories with AI-based intelligent search and retrieval mechanisms. Instead of requiring users to mechanically navigate through multiple levels of categories, the AI system uses natural language processing and machine learning to directly access relevant information, significantly reducing navigation time.
3Measurement precision
If manual summarization of sustainability data is performed, then the accuracy and control over summary content is improved, but the productivity and efficiency of data processing decreases
Solution Approach 1:
The patent substitutes manual summarization with AI-based automated summarization systems that use natural language processing and machine learning models. These systems automatically generate accurate summaries of sustainability data, maintaining the precision of manual summarization while dramatically improving processing efficiency and productivity.
Solution Approach 2:
The patent implements self-service summarization where the AI system automatically processes and summarizes sustainability data without human intervention. The system independently analyzes data, generates summaries, and presents them to users, maintaining high accuracy while eliminating the time-consuming manual summarization process.
Data Source
AI summary
A tangible, non-transitory, computer-readable medium includes instructions that, when executed by processing circuitry, are configured to cause the processing circuitry to transmit a set of sustainability data to a computer vision model for extraction into a textualized set of sustainability data, divide the textualized set of sustainability data into one or more subsets of textualized sustainability data, transmit the one or more subsets of textualized sustainability data to an artificial intelligence (AI) model, transmit at least one instruction to the AI model to elicit summarization the one or more subsets of textualized sustainability data into a summarized dataset, and transmit one or more queries associated with report navigation to the AI model to elicit search and identification of one or more responses based on the one or more queries wherein the report navigation includes navigation of the summarized dataset to provide the one or more responses.