Austin, TX, United States of America

Mounib Mohamad Ismail

USPTO Granted Patents = 3 

Average Co-Inventor Count = 10.0

ph-index = 2

Forward Citations = 10(Granted Patents)


Company Filing History:


Years Active: 2021-2023

where 'Filed Patents' based on already Granted Patents

3 patents (USPTO):

Title: Innovations by Mounib Mohamad Ismail

Introduction

Mounib Mohamad Ismail is an accomplished inventor based in Austin, TX (US). He has made significant contributions to the field of technology, particularly in machine learning and customer journey management. With a total of three patents to his name, Ismail continues to push the boundaries of innovation.

Latest Patents

Among his latest patents is the "Customer Journey Management Engine." This invention outlines a comprehensive process that includes obtaining a first training dataset, training a first machine-learning model on that dataset, and obtaining a set of candidate question sequences. Additionally, it involves forming virtual subject-entity records, creating a second training dataset, training a second machine-learning model, and storing the adjusted parameters of this model in memory. This innovative approach aims to enhance customer interactions and improve overall user experience.

Career Highlights

Mounib Mohamad Ismail has established himself as a key figure in his field. His work at Cerebri AI Inc. showcases his commitment to advancing technology and improving customer engagement through innovative solutions. His expertise in machine learning has positioned him as a valuable asset in the tech industry.

Collaborations

Ismail collaborates with talented professionals such as Alain Charles Briancon and Jean Joseph Belanger. These partnerships contribute to the development of cutting-edge technologies and foster a collaborative environment that encourages innovation.

Conclusion

Mounib Mohamad Ismail's contributions to the field of technology through his patents and collaborative efforts highlight his role as a leading inventor. His work continues to influence the landscape of customer journey management and machine learning.

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