Being prepared to not only implement an AI solution, but to implement it well, is difficult. All of these complications are compounded when working at a large organization.
First and foremost, AI is not well suited to solve all business problems, and there is immense value in recognizing that before going too far down a temporal and budgetary hole.
Furthermore, every step in the AI project management process, from data intake and manipulation to model selection to output analysis to development and, ultimately, deployment, brings with it unique challenges and considerations.
Finally, AI is fraught with ethical, social and legal implications.
In this tutorial, we will walk through the steps necessary to appropriately leverage AI in a large organization: This includes tips and tricks for identifying business opportunities that lend themselves to AI, as well as best practices for each step of the AI project management process, all while navigating complex organizational structures.