David Guillemet

Title: David Guillemet: Innovator in Machine Learning and Data Analysis

Introduction

David Guillemet is a notable inventor based in Paris, France. He has made significant contributions to the fields of machine learning and data analysis, holding 2 patents that showcase his innovative approach to technology.

Latest Patents

One of David's latest patents focuses on explainable machine learning predictions. This invention describes systems, methods, and computer products that allow applications to receive data, including a specification that defines a trained machine learning model. The application parses the model description and creates an engine instance based on it. A user interface is generated for requesting predictions and associated explanations, allowing users to input data and receive insights based on their queries.

Another patent involves systems and methods to create a multidimensional expression calculated member in a spreadsheet cell. This invention facilitates the use of a spreadsheet application to access information stored in a multidimensional data source. It includes receiving change indications from the spreadsheet application and translating spreadsheet formulas into multidimensional expression calculations, enhancing the functionality of spreadsheet tools.

Career Highlights

David has worked with prominent companies such as SAP France S.A. and SAP SE. His experience in these organizations has allowed him to develop and refine his skills in technology and innovation.

Collaborations

Throughout his career, David has collaborated with talented individuals, including Pierre Jean Le Brazidec and Florent Migeon. These partnerships have contributed to his success and the advancement of his projects.

Conclusion

David Guillemet is a distinguished inventor whose work in machine learning and data analysis continues to impact the technology landscape. His patents reflect his commitment to innovation and his ability to solve complex problems through technology.