18484674. FACILITATING GENERATION AND PRESENTATION OF ADVANCED INSIGHTS simplified abstract (ADOBE INC.)
Contents
- 1 FACILITATING GENERATION AND PRESENTATION OF ADVANCED INSIGHTS
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 FACILITATING GENERATION AND PRESENTATION OF ADVANCED INSIGHTS - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Unanswered Questions
- 1.11 Original Abstract Submitted
FACILITATING GENERATION AND PRESENTATION OF ADVANCED INSIGHTS
Organization Name
Inventor(s)
Md Main Uddin Rony of Washington DC (US)
Iftikhar Ahamath Burhanuddin of Bangalore (IN)
Ryan Rossi of San Jose CA (US)
Niyati Himanshu Chhaya of Telangana (IN)
Eunyee Koh of San Jose CA (US)
FACILITATING GENERATION AND PRESENTATION OF ADVANCED INSIGHTS - A simplified explanation of the abstract
This abstract first appeared for US patent application 18484674 titled 'FACILITATING GENERATION AND PRESENTATION OF ADVANCED INSIGHTS
Simplified Explanation
The patent application describes methods and systems for generating and presenting insights based on data visualizations. A machine learning model is used to generate natural language insights from a candidate insight, which is then presented alongside the data visualization through a graphical user interface.
- Methods and systems for generating insights from data visualizations
- Machine learning model used to generate natural language insights
- Insights presented alongside data visualizations through a graphical user interface
Potential Applications
This technology could be applied in various fields such as data analysis, business intelligence, market research, and decision-making processes.
Problems Solved
This technology helps in extracting valuable insights from data visualizations, making it easier for users to understand and interpret complex data sets.
Benefits
The technology streamlines the process of generating insights from data, improving decision-making and analysis efficiency. It also enhances the presentation of insights through natural language descriptions.
Potential Commercial Applications
"Enhancing Data Analysis and Visualization with Natural Language Insights"
Possible Prior Art
One possible prior art could be the use of machine learning models to generate insights from data in various industries, such as data analytics and business intelligence.
Unanswered Questions
How does the machine learning model determine the text style for the natural language insights?
The patent application does not provide specific details on how the machine learning model selects the text style for the generated insights.
What types of data visualizations are most suitable for generating insights using this technology?
The patent application does not specify which types of data visualizations work best with the described methods and systems.
Original Abstract Submitted
Methods, computer systems, computer-storage media, and graphical user interfaces are provided for facilitating generation and presentation of insights. In one implementation, a set of data is used to generate a data visualization. A candidate insight associated with the data visualization is generated, the candidate insight being generated in text form based on a text template and comprising a descriptive insight, a predictive insight, an investigative, or a prescriptive insight. A set of natural language insights is generated, via a machine learning model. The natural language insights represent the candidate insight in a text style that is different from the text template. A natural language insight having the text style corresponding with a desired text style is selected for presenting the candidate insight and, thereafter, the selected natural language insight and data visualization are providing for display via a graphical user interface.
