AI Deployment

AI solutions are being deployed for an increasing number of problems across industries. At the same time, the ROI on AI deployment has been questioned in certain cases. What drives successful deployment? How does one identify when, and where and what type of AI solutions to deploy? These are exactly the type of questions that many MBA students will face in their careers, is it in the context of managerial roles within large enterprises, as entrepreneurs, or in Consulting, Private Equity, Venture Capital, etc… This class aims at helping students sharpen their ``AI acumen’’, and will go through a series of core questions associated with AI deployment and a broad set of business scenarios associated with AI solutions. The first part of the class will focus on the diagnostic step and AI feasibility, while the second part of the course will focus on the deployment of AI solutions. ● AI Feasibility: the goal is to provide students with practical frameworks and intuition on how to assess efficiently if a business use case in their company is feasible and what steps they need to take to maximize the chance of success. ● AI Deployment : The goal of this part is to cover practical dimensions of deploying AI solutions, and the tradeoffs they induce. Among others, the course will touch on privacy, cost optimization, accuracy and reliability considerations.