HPN Hyperautomation Platform

HPN is building a hyperautomation platform using data science, artificial intelligence (AI), and machine learning (ML) techniques to hyperscale its unique business model. The expected outcomes from this platform will be scale up of revenue internationally along with improved operating margins; enhanced member and customer experience through self-service and AI concierge services; and innovation in our business model by unlocking the predictive and learning capabilities of our data. The intern will be responsible for developing an initial data taxonomy and entity-relationship framework on current data sets; identifying and defining hyperautomation use cases based on customer and member journey models; conducting a state of the art review of hyperautomation models/techniques that could be used for each use case as well as technical uncertainties; developing correlative and causal hypothesis on data relationships based on the HPN busines model/workfkows/datasets; and supporting experiments based on these hypothesis.

Faculty Supervisor:

Seok-bum Ko

Student:

Partner:

Hilltop Partner Network

Discipline:

Engineering

Sector:

New and Digital Media; Technology; Artificial Intelligence

University:

University of Saskatchewan

Program: