Company Filing History:
Years Active: 2024-2025
Title: Swathi Shyam Sunder: Innovator in Data Management Technologies
Introduction
Swathi Shyam Sunder is a prominent inventor based in Bengaluru, India. She has made significant contributions to the field of data management, holding a total of 3 patents. Her innovative work focuses on enhancing the efficiency and accuracy of data processing through advanced methodologies.
Latest Patents
Swathi's latest patents include a "System and method for data management." This invention provides a comprehensive approach to obtaining datasets from various data sources. It utilizes a processing unit to predict ontology labels for columns in the dataset using a machine learning model. The method generates a mapping between the dataset and the ontology, allowing for the classification of datapoints based on the predicted labels. The classified datasets are then presented on a user interface for user interaction.
Another notable patent is the "Method and system for automated column type annotation." This solution automates the process of mapping each column in a table to a specific annotation class. It transforms the table into a numerical tensor representation and employs a classifier to provide confidence scores for each column annotation class. If the scores exceed a certain threshold, the columns are annotated accordingly, streamlining the data annotation process.
Career Highlights
Swathi has worked with renowned companies such as Siemens Aktiengesellschaft and Siemens Schweiz AG. Her experience in these organizations has allowed her to develop and refine her skills in data management and machine learning technologies.
Collaborations
Swathi has collaborated with notable professionals in her field, including Tobias Aigner and Martin Ringsquandl. These collaborations have contributed to her innovative projects and have enhanced her expertise in data management solutions.
Conclusion
Swathi Shyam Sunder is a trailblazer in the realm of data management technologies. Her patents reflect her commitment to innovation and her ability to address complex challenges in data processing. Through her work, she continues to make a significant impact in the field.