Democratizing data preparation for AI

Artificial Intelligence (AI) has attracted significant attention in both industry and academia recently. On one hand, people are feeling excited about seeing the breakthroughs that AI has made. On the other hand, they are also worried that these advanced AI technologies will only be mastered by a very small number of organizations in the future. Therefore, there is a strong need to democratize AI (i.e., make AI accessible for everyone).There are three kinds of resources that AI requires: Algorithm, Computation, and Data. In the past, signification efforts have been made to democratize Algorithm and Computation. In terms of Data, however, the progress is still very slow. Data scientists, who are considered as the hottest job in the 21st century, can spend 80% of their time on data preparation. In this project, we will develop innovative technologies and open-source software tools to fulfil the vision of democratizing data preparation for AI.

Faculty Supervisor:

Jiannan Wang

Student:

Pei Wang

Partner:

Union Mobile Financial Technology Canada Corporation

Discipline:

Computer science

Sector:

Finance, insurance and business

University:

Simon Fraser University