Automatic Data Processing has patented a report management system using machine learning models to predict additional fields for new reports. The system identifies data fields, determines intent, and displays the predicted fields in a user-friendly interface. The technology aims to streamline report creation and enhance human capital management. GlobalData’s report on Automatic Data Processing 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 Automatic Data Processing, Digital lending was a key innovation area identified from patents. Automatic Data Processing's grant share as of February 2024 was 60%. Grant share is based on the ratio of number of grants to total number of patents.
Report management system using machine learning for new reports
A recently granted patent (Publication Number: US11900328B2) discloses a report management system that utilizes machine learning to streamline the process of creating new reports. The system, housed within a computer system, includes a report manager that identifies a subset of data fields for a new report, trains a machine learning model with existing reports and a taxonomy of human capital management (HCM) information, determines the intent of the new report, predicts additional fields, computes probability density functions, ranks the additional fields, and displays them in a graphical user interface based on the ranking. The taxonomy includes various HCM domains such as payroll, human resources, time, benefits, performance management, training & development, and talent acquisition, each with specific categories related to the domain.
Furthermore, the report management system allows for user input to select data fields, identifies existing reports for training the machine learning model, predicts additional fields using neural networks, calculates a weighted average of probability density functions, and displays the additional fields in a ranked order on the graphical user interface. The system aims to enhance the efficiency and accuracy of report creation by leveraging machine learning algorithms and a comprehensive taxonomy of HCM information. By automating the process of identifying relevant data fields and predicting additional fields for new reports, the system offers a sophisticated solution for report management in the realm of human capital management.
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