20240038373. MACHINE LEARNING CLOUD BASED CARE PAIRING TECHNOLOGY AND ASSOCIATED METHODS THEREOF simplified abstract (Unknown Organization)
MACHINE LEARNING CLOUD BASED CARE PAIRING TECHNOLOGY AND ASSOCIATED METHODS THEREOF
Organization Name
Inventor(s)
Loren Martin of GLENDORA CA (US)
MACHINE LEARNING CLOUD BASED CARE PAIRING TECHNOLOGY AND ASSOCIATED METHODS THEREOF - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240038373 titled 'MACHINE LEARNING CLOUD BASED CARE PAIRING TECHNOLOGY AND ASSOCIATED METHODS THEREOF
Simplified Explanation
The abstract of the patent application describes a cloud-based system that utilizes cloud computing resources to provide scalability, flexibility, and cost-effectiveness. It is built on a modular micro-services architecture, allowing for easy development, updating, and independent deployment.
- Scalability, flexibility, and cost-effectiveness achieved through the use of cloud computing resources.
- Modular micro-services architecture enables easy development, updating, and independent deployment.
Potential Applications:
- Cloud-based software systems
- Web applications
- Data storage and processing systems
Problems Solved:
- Limited scalability and flexibility of traditional systems
- High costs associated with hardware and infrastructure
- Complex and time-consuming development and deployment processes
Benefits:
- Scalability to handle varying workloads
- Flexibility to adapt to changing business needs
- Cost-effectiveness by utilizing cloud resources instead of investing in hardware
- Easy development, updating, and deployment processes
Original Abstract Submitted
the cloud-based system provides scalability, flexibility, and cost-effectiveness by using cloud computing resources. it employs a modular micro-services architecture, making it easy to develop, update, and deploy independently.
