Development of a Document AI algorithm for large-scale data capture

To guarantee progress and adherence to the Dreven platform the company must solve a major issue to which no
traditional solutions tested have provided reliable and efficient answers. This issue is linked to the complexity and
diversity of information exchanges that Dreeven must use for different reasons. To be efficient, the Dreeven platform
must be more intuitive (automated), which requires the use of more advanced AI techniques. However, the nature of
the information (digital vs digitized) causes multiple challenges for the techniques used in AI. We believe it is possible
to frame these issues through the use of the field of document AI.

Faculty Supervisor:

Neil Frederick Stewart

Student:

Partner:

Dreeven Technologies Inc

Discipline:

Computer science

Sector:

Information and cultural industries

University:

Université de Montréal

Program: