Petah Tikva, Israel

Hadas Baumer


Average Co-Inventor Count = 4.0

ph-index = 1


Company Filing History:


Years Active: 2025

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3 patents (USPTO):Explore Patents

Title: Hadas Baumer: Innovator in Data Matching Technologies

Introduction

Hadas Baumer is a prominent inventor based in Petah Tikva, Israel. He has made significant contributions to the field of data matching technologies, holding a total of 3 patents. His innovative work focuses on creating systems that enhance the efficiency of data processing and analysis.

Latest Patents

Hadas Baumer's latest patents include a "System and method for one-to-many matching between disparate datasets." This method involves receiving a command to perform a one-to-many matching task between first and second datasets. The datasets are vectorized into embedded datasets, and self-attention models are executed to generate attention datasets that express relationships between features. The method culminates in returning a relationship matrix that encapsulates these relationships.

Another notable patent is "Two-fold vendor de-duplication via node embeddings." This system creates embeddings of entity names and establishes an initial entity graph comprising related entities. The graph is refined by adjusting edge weights based on transactional data, ultimately merging entity names into a common entity based on their similarities.

Career Highlights

Hadas Baumer is currently employed at Intuit, Inc., where he continues to develop innovative solutions in data management. His work has been instrumental in advancing the capabilities of data matching and vendor de-duplication technologies.

Collaborations

Hadas collaborates with talented individuals such as Shon Mendelson and Sigalit Bechler, who contribute to the innovative environment at Intuit, Inc. Their combined expertise fosters a culture of creativity and problem-solving.

Conclusion

Hadas Baumer's contributions to data matching technologies exemplify the impact of innovation in the tech industry. His patents reflect a commitment to enhancing data processing methods, making significant strides in the field.

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