C3.ai, inc. (20240378039). INTELLIGENT DATA PROCESSING SYSTEM WITH MULTI-INTERFACE FRONTEND AND BACKEND simplified abstract

INTELLIGENT DATA PROCESSING SYSTEM WITH MULTI-INTERFACE FRONTEND AND BACKEND

Organization Name

c3.ai, inc.

Inventor(s)

David Tchankotadze of Saratoga CA (US)

Rohit P. Sureka of San Carlos CA (US)

Andrew J. Fitch of Redwood City CA (US)

Cherif Jazra of Palo Alto CA (US)

Dylan P. Huang of Palo Alto CA (US)

Edward L. Chayes of Palo Alto CA (US)

Manas Talukdar of Fremont CA (US)

Shivasankaran Somasundaram of San Mateo CA (US)

INTELLIGENT DATA PROCESSING SYSTEM WITH MULTI-INTERFACE FRONTEND AND BACKEND - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240378039 titled 'INTELLIGENT DATA PROCESSING SYSTEM WITH MULTI-INTERFACE FRONTEND AND BACKEND

The abstract of the patent application describes a method that involves identifying a sequence of transformations to be performed on an input dataset through a user interface. The method also includes selecting an execution engine based on the context associated with the input dataset and providing code to the selected engine to execute the transformations.

• Simplified Explanation:

- The method outlines a process for performing transformations on a dataset through a user interface. - It involves selecting an execution engine based on the dataset's context and providing code to execute the transformations.

• Key Features and Innovation:

- Identification of transformations through a user interface. - Selection of an execution engine based on dataset context. - Providing code to the selected engine for executing transformations.

• Potential Applications:

- Data processing and manipulation. - Automation of data transformation tasks. - Streamlining data analysis processes.

• Problems Solved:

- Simplifying the process of performing transformations on datasets. - Enhancing efficiency in data processing tasks. - Improving the user experience in data analysis.

• Benefits:

- Increased productivity in data manipulation. - Streamlined data processing workflows. - Enhanced user control over data transformation tasks.

• Commercial Applications:

- Data analytics software development. - Business intelligence tools. - Data management systems.

• Questions about the Technology:

1. How does the method improve the efficiency of data processing tasks? - The method streamlines the process of performing transformations on datasets, reducing manual effort and increasing productivity.

2. What are the key features that differentiate this method from existing data processing techniques? - The method's unique approach involves selecting an execution engine based on the dataset's context, enhancing the efficiency and effectiveness of data transformations.

Original Abstract Submitted

a method includes identifying a sequence of transformations to be performed on an input dataset via a user interface. the method also includes identifying a first context associated with the input dataset. the method further includes selecting a first one of multiple execution engines to be used to perform the sequence of transformations on the input dataset based on the first context. in addition, the method includes providing first code implementing the sequence of transformations to the first execution engine and executing the first code using the first execution engine to perform the sequence of transformations on the input dataset.