18093874. SELF-CORRECTING BOT simplified abstract (Bank of America Corporation)
Contents
SELF-CORRECTING BOT
Organization Name
Inventor(s)
Lalit Dhawan of Cranbury NJ (US)
Swetha Ravi of Charlotte NC (US)
Kevin A. Delson of Woodland Hills CA (US)
Pratap Dande of Saint Johns FL (US)
SELF-CORRECTING BOT - A simplified explanation of the abstract
This abstract first appeared for US patent application 18093874 titled 'SELF-CORRECTING BOT
Simplified Explanation: The patent application describes a method for automatically identifying and correcting issues with malfunctioning bots that generate unexpected outputs.
Key Features and Innovation:
- Automated detection of aberrant outputs from bots
- Identification of the root cause of the issue (input error or unusual data)
- Simulation of potential solutions
- Application of solutions to fix the malfunctioning bot
Potential Applications: This technology can be applied in various industries where bots are used for automation, such as customer service, data analysis, and online transactions.
Problems Solved:
- Detecting and correcting errors in bot-generated outputs
- Improving the reliability and accuracy of automated processes
- Reducing the need for manual intervention in bot maintenance
Benefits:
- Increased efficiency in bot operations
- Enhanced accuracy in task automation
- Cost savings by reducing the need for manual troubleshooting
Commercial Applications: This technology could be utilized by companies that rely on bots for various tasks, such as e-commerce platforms, financial institutions, and tech companies. It can improve the performance and reliability of automated systems, leading to better customer experiences and operational efficiency.
Questions about Bots: 1. How can this technology help businesses improve their automated processes? 2. What are the potential challenges in implementing auto-correct bots in different industries?
Frequently Updated Research: Researchers are constantly exploring new ways to enhance the capabilities of bots and improve their performance in various applications. Stay updated on the latest advancements in bot technology to leverage its full potential in your business operations.
Original Abstract Submitted
Bots are typically programmed to automate tasks and provide statistically expected results. However, a bot may malfunction and generate aberrant outputs. It is technically challenging to detect the aberrant outputs and determine whether the outputs are due to an error in how the bot processes inputs or because the bot has received unusual or unexpected input data. Apparatus and methods are provided for auto-determining why a bot has generated output outside expected results. An auto-correct bot will detect problems and auto-identify potential solutions, simulate those solutions and apply those solutions to remediate the malfunctioning bot.
