General Information
Promotional Video
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Instructor Bio
Bo Pelech is a Professor and Executive-in-Residence at the Rotman School where he teaches and mentors MBA students in experiential courses, including A.I., Growth Strategy and Sustainability, and supports MBA students seeking paid internships.
Reuven Cohen is an independent A.I. consultant working with some of the largest companies in the world on their enterprise A.I. architecture and management strategies.
Target Audience
Students that want to explore how A.I. intersects with high value business processes, problem and challenges. Students will have several project options to choose from, ideally finding topics of interest.
Prerequisites
There is no specific technical knowledge needed, other than an inclination to learn/use ‘no-code’ online tools and technology (such as ChatGPT).
Format
Regular virtual check-ins will be individually booked based on what dates and times work best for students/teams and the instructors. These virtual check-ins will take place between September 16th and December 5th.
Course Mission and Scope
A.I. will allow for unparalleled comprehensiveness in terms of the exploration of ideas and the analysis and pursuit of growth opportunities. This course is focused on exploring the intersection of A.I. with complex business problems/challenges and processes. Students will delve into multi-step processes with high-value outcomes, assessing how A.I. can replicate or otherwise enhance, supplement, augment deliverables. We are seeking individuals who are eager to tackle challenges and contribute to cutting-edge solutions in various domains of business operations.
Evaluation and Grade Breakdown
| Component | Due Date |
|---|---|
| Analysis of business process, problem, challenge. Including interviews and identification of necessary data / inputs etc. | Early September |
| Workflow/Strategy – Developing an understanding of methodologies related to addressing the challenge including low fidelity iterations/primary and secondary research as well as defining most useful academic/business models and frameworks. | Mid/Late September |
| Output/Technology – At a minimum progressive iterations of a CustomGPT designed to tackle the business challenge. | October |
| Final Presentation – Working GPT, explanation of workflows and related libraries, and assessment of the quality/state of A.I. in the context of tackling such challenges, and presentation of low-fidelity prototyping. | Early December |
Required Resources
These are mainly free or low cost A.I. tools and platforms that students will be testing/iterating related to their challenge. Additional materials may be posted on Quercus.
Experiential Course Limit
There are limits to the number of RSM27XX range courses that students may take for credit toward their degree. Please refer to the Global and Experiential Course Eligibility Specifics and Limits section on the RO website for all details.