AI Data Narration System for Automated Insight Extraction
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Solution Overview
Problem
Large datasets often overwhelm users, making it difficult to identify trends or insights, as existing reporting methods require extensive training or domain knowledge to effectively organize and present data in a compelling manner.
Innovation Solution
An AI-based data narration generating system that uses machine learning models to create data narrations in various formats, including textual, graphical, and data structure formats, allowing for automatic selection and customization based on user privileges, enabling different users to view tailored versions of the same data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional reporting methods are used to present data, then information can be organized in a structured manner, but extensive training and domain knowledge are required to create compelling presentations
Solution Approach 1:
The system enables data to present itself through automated analysis. The AI model automatically identifies trends, patterns, and insights from the data without requiring human intervention for data organization and presentation structure, allowing the data to 'serve itself' in generating compelling narratives
Solution Approach 2:
The patent replaces the manual mechanical process of data organization and report creation with an automated AI-based system. The machine learning model substitutes the human expert's analytical work, automatically generating data presentations with trends, insights, and visualizations without requiring manual intervention
2Loss of information
If comprehensive data analysis is performed to extract all insights, then more information is available, but the data set becomes overwhelming and difficult to comprehend
Solution Approach 1:
The system extracts only the most relevant and significant insights from the comprehensive data set. The AI model identifies and extracts key trends, patterns, and conclusions while filtering out redundant or less important information, presenting only the essential findings that matter most to the user
Solution Approach 2:
The patent segments the comprehensive data analysis into distinct, manageable components such as trends, patterns, insights, and conclusions. Each segment is presented separately with clear visualizations and explanations, making the overall information more digestible and easier to comprehend while retaining all important findings
3Adaptability or versatility
If multiple customized reports are created for different users, then each user receives tailored information, but the time and resources required for report generation increase
Solution Approach 1:
The patent implements a universal AI-based system that serves multiple user types and purposes through a single platform. The same core system automatically adapts its output based on user roles, data types, and preferences, eliminating the need for separate report generation processes for different users while maintaining full customization capabilities
Data Source
AI summary
A data narration generating system generates snippets that include representations of data in one of a plurality of formats for inclusion into a data narration. The narration generating system receives selected data to be included into the data narration and provides the selected data to a plurality of ML models. The plurality of ML models are trained in generating snippets in one of the plurality of formats which can include textual format and a tabular format. Snippets in graphical formats can also be generated by rule-based processes. A plurality of snippets are thus generated in one or more of the plurality of formats which can then be presented to a user for selection and inclusion into the data narration. Alternately, a subset of the plurality of snippets can also be selected automatically based on a quality and quantity of data and a voting mechanism. The data narration thus generated is further configured to present different views based on privileges associated with user profiles.