Bradford, MA, United States of America

Barbara Latulippe


Average Co-Inventor Count = 3.8

ph-index = 2

Forward Citations = 19(Granted Patents)


Company Filing History:


Years Active: 2019-2020

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3 patents (USPTO):Explore Patents

Title: Innovations by Barbara Latulippe

Introduction

Barbara Latulippe is an accomplished inventor based in Bradford, MA (US). She has made significant contributions to the field of data governance, holding a total of 3 patents. Her work focuses on enhancing the management and valuation of data within enterprises.

Latest Patents

One of her latest patents is titled "Data governance with automated risk valuation via impact per event analytics." This innovative method identifies critical data elements associated with an enterprise and maintains a data structure that reflects the impact of these elements on various events. The method also predicts risks associated with subsequent impacts, providing valuable insights for enterprise decision-making.

Another notable patent is "Hierarchical value-based governance architecture for enterprise data assets." This apparatus includes a processing platform that implements a hierarchical governance system for data assets. It features a data asset governance controller, technical and business metadata hubs, and a data asset catalog, which together provide integrated insights into the data assets of an enterprise.

Career Highlights

Barbara Latulippe has built her career at Emc IP Holding Company LLC, where she has been instrumental in developing innovative data governance solutions. Her expertise in this area has positioned her as a leader in the field.

Collaborations

Throughout her career, Barbara has collaborated with notable colleagues, including Anand Singh and Stephen J Todd. These partnerships have contributed to her success and the advancement of her innovative projects.

Conclusion

Barbara Latulippe's contributions to data governance through her patents reflect her commitment to innovation and excellence in her field. Her work continues to influence how enterprises manage and value their data assets.

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