Workday. has been granted a patent for a method that facilitates data mapping between two computer applications. The process involves using a BERT model to generate mathematical representations of data fields, executing similarity functions, and optimizing field mappings for effective data transfer in an ETL process. GlobalData’s report on Workday gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on Workday, Blockchain-based property authentication was a key innovation area identified from patents. Workday's grant share as of June 2024 was 77%. Grant share is based on the ratio of number of grants to total number of patents.
Data mapping between two computer applications using bert
The patent US12045672B2 outlines a computer-implemented method for effectively mapping data between two distinct computer applications. The process begins with obtaining the schema of the second organization's application, followed by generating mathematical representations of field keys and data from both the first and second applications using a Bidirectional Encoder Representations from Transformers (BERT) model. The method employs two similarity functions to compare these representations, ultimately producing pairs of corresponding data fields from both applications. An optimization process is then executed to determine the most suitable mappings, which may involve consolidating multiple fields from the first application into a single field in the second application. The mapped data is subsequently utilized in an Extract, Transfer, Load (ETL) process within the second organization's application.
Additionally, the patent specifies that the first application can be various systems such as Applicant Tracking Systems (ATS), Customer Relationship Management (CRM), or Human Capital Management (HCM) systems. The optimization process may include a greedy algorithm to enhance mapping efficiency, and it can accommodate scenarios where the first application has more data fields than the second. The method also allows for the mapping of fields in different languages and supports the comparison of field types. Overall, the patent presents a systematic approach to data mapping that leverages advanced machine learning techniques to facilitate interoperability between disparate software systems.
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