KPMG LLP (20240296352). ARTIFICIAL INTELLIGENCE ENHANCED KNOWLEDGE FRAMEWORK simplified abstract
Contents
ARTIFICIAL INTELLIGENCE ENHANCED KNOWLEDGE FRAMEWORK
Organization Name
Inventor(s)
John A. Yanosy, Jr. of Grapevine TX (US)
Anu Puvvada of Houston TX (US)
Stephanie Kim of New York NY (US)
Andrew Urban of Seattle WA (US)
Michael Sisselman of Lakeville CT (US)
ARTIFICIAL INTELLIGENCE ENHANCED KNOWLEDGE FRAMEWORK - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240296352 titled 'ARTIFICIAL INTELLIGENCE ENHANCED KNOWLEDGE FRAMEWORK
The abstract describes a computer-implemented system, method, and computer products for the development and use of a knowledge framework. The system includes processors and memory with computer program code that performs tasks such as receiving session data, machine learning data, enhancing the knowledge framework, and creating additional machine learning data.
- Receive session data related to responses from a participant
- Receive machine learning data
- Create or enhance the knowledge framework based on the data
- Create additional machine learning data using the knowledge framework
- Utilize computer synergistic generative artificial intelligence, machine learning, and knowledge framework subsystems
Potential Applications: - Data analysis and interpretation - Personalized recommendations - Predictive modeling - Decision support systems - Knowledge management
Problems Solved: - Efficient data processing - Enhanced decision-making capabilities - Improved knowledge organization - Automated data generation
Benefits: - Increased efficiency - Enhanced accuracy - Improved decision-making - Streamlined processes
Commercial Applications: Title: "Enhanced Knowledge Framework System for Data Analysis and Decision Support" This technology can be used in various industries such as healthcare, finance, marketing, and research for data analysis, predictive modeling, and decision support systems. It can help organizations make informed decisions based on accurate data analysis and interpretation.
Prior Art: Readers can explore prior art related to knowledge frameworks, machine learning, and artificial intelligence systems in academic journals, patent databases, and industry publications.
Frequently Updated Research: Stay updated on advancements in machine learning algorithms, knowledge representation techniques, and artificial intelligence applications for data analysis and decision support systems.
Questions about the technology: 1. How does the system handle large volumes of data for analysis? 2. What are the potential limitations of using machine learning in knowledge framework development?
Original Abstract Submitted
a computer-implemented system, a method, and computer products for development and use of a knowledge framework are provided. the system comprises one or more processors and a memory including computer program code. the computer program code is configured to, when executed, cause the one or more processors to perform various tasks. these tasks include receive session data related to responses received from a participant in a session, receive machine learning data, create or enhance the knowledge framework based on the machine learning data and the session data, and create additional machine learning data using the knowledge framework as a source of information. the method performs these tasks, and the computer readable medium contains similar computer program code. the method can perform these tasks with computer synergistic generative artificial intelligence, machine learning, and knowledge framework subsystems.
