18418458. SYSTEMS AND METHODS FOR EVALUATING, VALIDATING, CORRECTING, AND LOADING DATA FEEDS BASED ON ARTIFICIAL INTELLIGENCE INPUT simplified abstract (Bank of America Corporation)
Contents
- 1 SYSTEMS AND METHODS FOR EVALUATING, VALIDATING, CORRECTING, AND LOADING DATA FEEDS BASED ON ARTIFICIAL INTELLIGENCE INPUT
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 SYSTEMS AND METHODS FOR EVALUATING, VALIDATING, CORRECTING, AND LOADING DATA FEEDS BASED ON ARTIFICIAL INTELLIGENCE INPUT - 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 Original Abstract Submitted
SYSTEMS AND METHODS FOR EVALUATING, VALIDATING, CORRECTING, AND LOADING DATA FEEDS BASED ON ARTIFICIAL INTELLIGENCE INPUT
Organization Name
Inventor(s)
Vijaya Kumar Vegulla of Hyderabad (IN)
Rama Venkata S. Kavali of Frisco TX (US)
Venugopala Rao Randhi of Hyderabad (IN)
Damodarrao Thakkalapelli of Agoura Hills CA (US)
SYSTEMS AND METHODS FOR EVALUATING, VALIDATING, CORRECTING, AND LOADING DATA FEEDS BASED ON ARTIFICIAL INTELLIGENCE INPUT - A simplified explanation of the abstract
This abstract first appeared for US patent application 18418458 titled 'SYSTEMS AND METHODS FOR EVALUATING, VALIDATING, CORRECTING, AND LOADING DATA FEEDS BASED ON ARTIFICIAL INTELLIGENCE INPUT
Simplified Explanation
The present invention describes systems, computer program products, and methods for evaluating, validating, correcting, and loading data feeds based on artificial intelligence input.
- The invention can receive a data feed from a source for loading to a target data structure.
- It analyzes the metadata of the data feed based on historical feed data to determine the likelihood of the data feed failing to load.
- It determines whether the likelihood of the data feed failing to load satisfies a threshold.
- The invention loads the data feed to the target data structure and checks if the data feed failed to load.
- It corrects errors in the data feed or adds error-containing portions of the data feed to a failed data log.
Potential Applications
This technology can be applied in data management systems, financial institutions, healthcare organizations, and any industry that relies on accurate and timely data processing.
Problems Solved
1. Ensures data feeds are loaded accurately and efficiently. 2. Identifies potential errors in data feeds before loading, reducing the risk of data corruption.
Benefits
1. Improved data accuracy and reliability. 2. Time and cost savings by automating data feed validation and correction processes.
Potential Commercial Applications
Optimizing data management processes in various industries for increased efficiency and accuracy.
Possible Prior Art
One possible prior art could be automated data validation tools used in data processing systems to ensure data integrity and accuracy.
What are the potential limitations of this technology in real-world applications?
How does this technology compare to existing solutions in terms of efficiency and accuracy?
Original Abstract Submitted
Systems, computer program products, and methods are described herein for evaluating, validating, correcting, and loading data feeds based on artificial intelligence input. The present invention may be configured to receive a data feed from a source for loading to a target data structure, analyze, based on historical feed data, metadata of the data feed to determine a likelihood of the data feed failing to load, and determine whether the likelihood of the data feed failing to load satisfies a threshold. The present invention may be configured to load the data feed to the target data structure, determine, after loading the data feed to the target data structure, whether the data feed failed to load, and either correct errors in the data feed or add error-containing portions of the data feed to a failed data log.
