Tel Aviv, Israel

Sagie Maoz

This inventor holds 1 USPTO granted patent. Top assignee: Google Inc.. Active years: 2021.


% Patents Active = 100.0

Average Co-Inventor Count = 11.0

ph-index = 1

Forward Citations = 3(Granted Patents)


Company Filing History:


Years Active: 2021

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1 patent (USPTO):Explore Patents

Title: Sagie Maoz: Innovator in Geospatial Advertising Technology

Introduction

Sagie Maoz is a prominent inventor based in Tel Aviv, Israel. He has made significant contributions to the field of geospatial advertising through his innovative patent. His work focuses on enhancing the effectiveness of advertising campaigns by utilizing machine learning techniques to predict inventory quantities.

Latest Patents

Sagie Maoz holds a patent titled "Inventory quantity prediction for geospatial ads with trigger parameters." This patent describes a method for determining an impression metric for organizations. A server device generates a statistical model to estimate this metric using machine learning techniques. The model is trained with data obtained from randomly selected geographic locations, assessing the number of users eligible to receive specific advertisements. When organizations seek to estimate impressions for their campaigns, the server applies relevant data to the statistical model, providing valuable insights for advertising strategies.

Career Highlights

Sagie Maoz is currently employed at Google Inc., where he continues to develop innovative solutions in the realm of advertising technology. His expertise in machine learning and geospatial data analysis has positioned him as a key player in the industry.

Collaborations

Some of his notable coworkers include Tal Goldberg and Oded Betzalel, who contribute to the collaborative environment at Google Inc. Their combined efforts foster innovation and drive advancements in advertising technologies.

Conclusion

Sagie Maoz is a distinguished inventor whose work in geospatial advertising has the potential to transform how organizations approach their advertising campaigns. His patent demonstrates the power of machine learning in predicting advertising metrics, showcasing his commitment to innovation in the field.

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