Dell products l.p. (20240176791). AUTOMATIC DOCUMENTATION ENHANCEMENT USING ORGANIZATION QUERIES simplified abstract

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AUTOMATIC DOCUMENTATION ENHANCEMENT USING ORGANIZATION QUERIES

Organization Name

dell products l.p.

Inventor(s)

Amihai Savir of Newton MA (US)

Oshry Ben-harush of Cedar Park TX (US)

Ofir Ezrielev of Be'er Sheva (IL)

AUTOMATIC DOCUMENTATION ENHANCEMENT USING ORGANIZATION QUERIES - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240176791 titled 'AUTOMATIC DOCUMENTATION ENHANCEMENT USING ORGANIZATION QUERIES

Simplified Explanation

The abstract of the patent application describes a method for enhancing documentation of data entities in a datastore by analyzing queries from a query database to generate insights into the data entities and processes of an organization. These insights are then added to the documentation to improve query formulation, data entity understanding, and query results.

  • The innovation involves analyzing queries from a query database to gain insights into data entities and processes.
  • The insights generated from the queries are incorporated into the documentation of the data entities to enhance understanding and improve query results.

Potential Applications

The technology can be applied in various industries such as healthcare, finance, and e-commerce to improve data management and query processing.

Problems Solved

1. Lack of comprehensive documentation for data entities in a datastore. 2. Difficulty in formulating effective queries due to limited understanding of data entities.

Benefits

1. Improved query results and efficiency. 2. Enhanced data entity understanding. 3. Streamlined data management processes.

Potential Commercial Applications

Optimizing data storage and retrieval systems for businesses in various sectors.

Possible Prior Art

There may be existing technologies that analyze queries for data insights, but the specific method of enhancing documentation of data entities through query analysis may be novel.

Unanswered Questions

How does the technology ensure data privacy and security during query analysis?

The article does not address the potential risks or measures taken to protect sensitive data during the query analysis process.

What are the scalability limitations of this technology in handling large volumes of queries and data entities?

The scalability of the technology in processing a high volume of queries and data entities is not discussed in the article.


Original Abstract Submitted

enhancing documentation of data entities in a datastore. queries from a query database are analyzed to generate insights into the data entities in the datastore and/or processes of an organization. the insights generated from the queries are added to the documentation of the data entities. the insights enhance the documentation and improve query formulation, data entity understanding, and query results.