Bank of America Corporation (20240346016). Real Time Optimization Apparatus Using Smart Contracts for Dynamic Code Validation and Approval simplified abstract
Contents
Real Time Optimization Apparatus Using Smart Contracts for Dynamic Code Validation and Approval
Organization Name
Inventor(s)
Rama Venkata S. Kavali of Frisco TX (US)
Venugopala Rao Randhi of Hyderabad (IN)
Pitti Venkateswarlu of Charlotte NC (US)
Jyothi Gaddam of Hyderabad (IN)
Real Time Optimization Apparatus Using Smart Contracts for Dynamic Code Validation and Approval - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240346016 titled 'Real Time Optimization Apparatus Using Smart Contracts for Dynamic Code Validation and Approval
The abstract of the patent application describes a quantum computing platform that can establish a smart contract approval and management model. This includes rules for automated validation and rules for smart contract approver validation. The platform receives data indicating current workload information, generates a container configuration output based on this data, validates the configuration output, and sends commands to process the workload using the defined batch configuration.
- Quantum computing platform for smart contract approval and management
- Automated validation rules and smart contract approver validation rules
- Data feed received to indicate workload information
- Generation of container configuration output based on data feed
- Validation of container configuration output
- Commands sent to process workload using batch configuration
Potential Applications: - Smart contract management in various industries such as finance, supply chain, and healthcare - Automation of approval processes for contracts and agreements - Enhanced security and efficiency in contract validation and approval
Problems Solved: - Streamlining smart contract approval processes - Ensuring accuracy and validity of smart contract configurations - Improving overall efficiency in workload processing systems
Benefits: - Increased automation and efficiency in contract approval - Enhanced security and validation of smart contracts - Improved management of workloads and batch configurations
Commercial Applications: Title: Quantum Computing Platform for Smart Contract Approval and Management This technology can be utilized in industries such as finance, healthcare, and supply chain management for automating and streamlining contract approval processes. It can also be marketed to companies looking to enhance the security and efficiency of their smart contract management systems.
Questions about Quantum Computing Platform for Smart Contract Approval and Management: 1. How does the quantum computing platform validate smart contract configurations? The platform validates smart contract configurations using automated validation rules to ensure accuracy and validity. 2. What are the potential applications of this technology in different industries? This technology can be applied in finance, supply chain, and healthcare industries for automating contract approval processes and enhancing security in smart contract management systems.
Original Abstract Submitted
a quantum computing platform may establish a smart contract approval and management model, including: rules for automated validation, and rules for smart contract approver validation. the computing platform may receive, from a workload processing system, a data feed indicating current workload information. the computing platform may generate, based on the data feed, a first container configuration output, defining a batch configuration for use in processing the data feed. the computing platform may validate, using the one or more rules for automated validation, the first container configuration output. the computing platform may send, to the workload processing system, the first container configuration output and one or more commands directing the workload processing system to process the data feed using the batch configuration defined by the first container configuration output, which may cause the workload processing system to process the data feed using the batch configuration.
