Dell products l.p. (20240348454). SYSTEM AND METHOD FOR PROVIDING INFORMATION USABLE TO IDENTIFY TRUST IN DATA simplified abstract
Contents
- 1 SYSTEM AND METHOD FOR PROVIDING INFORMATION USABLE TO IDENTIFY TRUST IN DATA
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 SYSTEM AND METHOD FOR PROVIDING INFORMATION USABLE TO IDENTIFY TRUST IN DATA - A simplified explanation of the abstract
- 1.4 Potential Applications
- 1.5 Problems Solved
- 1.6 Benefits
- 1.7 Commercial Applications
- 1.8 Prior Art
- 1.9 Frequently Updated Research
- 1.10 Questions about Trust Management System for Data
- 1.11 Original Abstract Submitted
SYSTEM AND METHOD FOR PROVIDING INFORMATION USABLE TO IDENTIFY TRUST IN DATA
Organization Name
Inventor(s)
BRADLEY K. Goodman of Nashua NH (US)
TREVOR SCOTT Conn of Leander TX (US)
SYSTEM AND METHOD FOR PROVIDING INFORMATION USABLE TO IDENTIFY TRUST IN DATA - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240348454 titled 'SYSTEM AND METHOD FOR PROVIDING INFORMATION USABLE TO IDENTIFY TRUST IN DATA
The patent application discusses methods and systems for managing trust in data, where the reliability of generated data can vary based on how it was created. By providing information about the conditions under which data was generated along with the data itself, receivers can independently evaluate and determine the level of trust to place in the data. Different receivers may assess this added information differently based on their risk tolerance.
- Trust management system for data
- Reliability of generated data depends on how it was created
- Information about data generation conditions provided with the data
- Receivers can evaluate and determine trust level independently
- Different receivers may assess information differently based on risk tolerance
Potential Applications
The technology can be applied in various industries such as finance, healthcare, and manufacturing where data trust is crucial for decision-making processes.
Problems Solved
This technology addresses the challenge of determining the trustworthiness of generated data, allowing for more informed decision-making based on reliable information.
Benefits
- Enhanced trust in generated data - Improved decision-making processes - Increased reliability in data analysis
Commercial Applications
Title: Trust Management System for Data: Commercial Applications and Market Implications This technology can be utilized by data-driven companies, financial institutions, and healthcare providers to ensure the reliability of the data they use for critical operations.
Prior Art
Further research can be conducted in the fields of data management, trust systems, and data reliability to explore existing technologies related to this innovation.
Frequently Updated Research
Stay updated on advancements in data trust management systems, data reliability technologies, and decision-making processes in various industries to enhance the application of this technology.
Questions about Trust Management System for Data
1. How does the trust management system impact decision-making processes?
- The trust management system enhances decision-making by providing reliable data for analysis and evaluation.
2. What are the potential risks associated with relying on generated data for critical operations?
- The risks include making inaccurate decisions based on unreliable data, which can lead to financial losses or operational inefficiencies.
Original Abstract Submitted
methods and systems for managing trust in data are disclosed. generated data may be more or less reliable depending on the manner in which the data is generated. to identify a level of trust to have in generated data, information regarding the conditions under which data was generated may be provided along with the generated data. the added information may allow a receiver of the generated data to independently evaluate and ascribe the level of trust to have in the generated data. different receivers of the same data may use different manners of evaluating the added information depending on their tolerance for risk in use of the generated data.
