Developing Intelligent BI Applications using Machine Learning

SAP is a multinational software corporation that makes enterprise software to manage business operations and customer relations. SAP Labs Montreal focuses on supporting the consumer products industry. It provides these industries with the software infrastructure that allows its customers to run end-to-end processes including the capturing and analysis of sales transactions. Sales transactions include for example purchases made by each and every customer of the retail industry. Sales transactions are generated by point-of-sale (POS) systems used by cashiers and sent to a central server for validation and consistency checks. Recently, SAP has been actively applying machine learning to improve the efficiency of its software products. One challenge faced by development teams in this process is the identification of relevant features from raw data and the testing of the models. Current existing techniques are semi-automatic and often labor intensive. They also depend heavily on the expertise of domain experts, which often constitutes a significant barrier to the pursuit of machine learning projects in the Industry. This project aims to support the implementation of machine learning projects in the industry, by equipping development teams with a framework for the automatic identification of relevant features and the transformation operations (text was cut)

Faculty Supervisor:

Foutse Khomh

Student:

Le An

Partner:

SAP Canada Inc.

Discipline:

Computer science

Sector:

Information and communications technologies

University:

Program: