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University of Michigan

GenAI in Business: Planning Framework for Implementation

University of Michigan via Coursera

Overview

In this second course of the Generative AI in Business series, we focus on the "Plan" phase of the "See, Plan, Act" sequence. At the core of this course is the PAD framework—Problem, Abilities, Data—developed through collaborations with companies across various industries during their AI transformation journeys. You’ll learn how to identify the right business problems where generative AI can deliver the greatest value. We’ll guide you through the process of articulating these problems in terms of pain points and value levers, ensuring clarity for all stakeholders. With the problem defined, we’ll align it with the specific abilities your generative AI solution needs and help you choose the right technology and solution type. Finally, you’ll develop a three-step roadmap to organize your data, evaluate its quality and readiness, and select the best approach to integrate it into your AI solution. By the end of the course, you’ll have a detailed blueprint for your generative AI solution, a clear understanding of the data you need, and a strategy for integrating it effectively into your business.

Syllabus

  • PAD Framework of GenAI Adoption: The Problem
    • In this module, we'll learn how to choose the right problem in your business for GenAI, and how to build a convincing case to key stakeholders on why the problem is worth solving.
  • PAD Framework of GenAI Adoption: The Ability
    • Now that you have a clear problem in mind, in this module you will learn how to identify the right GenAI solution types for that problem.
  • PAD Framework of GenAI Adoption: The Data
    • In this module, we’ll learn how to select the right data from your business and the most effective methods to integrate those data with your planned GenAI solution, in order to enable the solution to deliver the abilities that your problem calls for.

Taught by

Andrew Wu

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