Jean-Francois Puget

Title: Innovations of Jean-Francois Puget

Introduction

Jean-Francois Puget is a notable inventor based in Saint-Raphael, France. He has made significant contributions to the field of prescriptive time-series forecasting, holding a total of six patents. His work focuses on combining analytical methods to enhance forecasting accuracy and decision-making processes.

Latest Patents

One of Jean-Francois Puget's latest patents is a system and method for combining what-if and goal-seeking analyses for prescriptive time-series forecasting. This computer-implemented method integrates both what-if analysis and goal-seeking analysis. The process involves building a model for a target metric using a set of predictors based on historical time-series data. The model computes a set of forecast values, which are then analyzed against a set of goals for the target metric and constraints for the predictors. The outcome is a set of updated forecasts that meet the specified goals within the constraints, presented through various formats such as tables, visualizations, or interactive user interfaces.

Career Highlights

Jean-Francois Puget is associated with the International Business Machines Corporation, commonly known as IBM. His role at IBM has allowed him to leverage his expertise in forecasting methodologies and contribute to innovative solutions in the industry.

Collaborations

Throughout his career, Jean-Francois has collaborated with notable colleagues, including James Steven Luke and Yea-Jane Chu. These collaborations have further enriched his work and expanded the impact of his inventions.

Conclusion

Jean-Francois Puget's contributions to prescriptive time-series forecasting exemplify the intersection of innovation and practical application. His patents reflect a commitment to enhancing analytical methods, making significant strides in the field.