MBA Intern – Use Case Project – Agriculture & Supply Chain

The main objective of the internship is to conduct a systematic review of artificial intelligence and machine learning and develop use-cases for Agriculture & Supply Chain Industries. This literature review will help in the development of a knowledge base to support the build-out program resource materials. These will be used as educational content for cohort-based programs which are focused on applying AI and ML solutions in their industries and help in reducing the greenhouse gas emissions.
The key responsibilities and deliverables are as follows:
• Search, review and collate industry-based research and white papers related to Agriculture and Supply Chain Industries verticals (Output: a documented literature review)
• Highlight AI & ML use-cases in Agriculture and Supply Chain sectors and their impacts in various businesses(Output: catalogue of cases highlighting different impacts in the business value chain)
• Work with Amii team to build out a catalogue of templated use cases from the mentioned industries that highlight different outcomes and align with Amii’s AI Adoption Spectrum(Output: A portfolio of templated case studies from Agriculture and Supply Chain industries)
• Create an easy to use file structure to house these resources for access by all Amii team members for easy incorporation into various Amii programs

Faculty Supervisor:

Michael Maier

Student:

Partner:

Alberta Machine Intelligence Institute

Discipline:

Business

Sector:

Professional, scientific and technical services

University:

University of Alberta

Program: