Mohamed Dhouib

Researcher, École Polytechnique’s Informatics Lab, in close collaboration with the Crédit Agricole’s DataLab Group Crédit Agricole’s DataLab Group

Mohamed Dhouib is a graduate of the prestigious French institution, École Polytechnique, where he specialized in machine learning. Currently, he is pursuing his doctoral thesis at École Polytechnique’s Informatics Lab, in close collaboration with the Crédit Agricole’s DataLab Group. His research focuses on visually rich document understanding, a challenging task with significant real-world applications. Mohamed's contributions in this field have been published in scientific articles and have been successfully implemented in industrial solutions.

Main Conference Day One - Tuesday 21st May

10:40 AM chatdoc: Novel Information Extraction from Documents Using Generative AI

Explore the significance of extracting valuable insights from large documents using generative AI, addressing:

-       Enhancing document analysis for various industries like finance and insurance with internal generative AI models.

-       Improving user experiences in processing large documents through innovative open-source models and high-performance research.

-       Leveraging generative AI's novel information extraction capabilities to transform traditional document analysis approaches.

Check out the incredible speaker line-up to see who will be joining Mohamed.

Download The Latest Agenda