GenAI in Business: Planning Framework for Implementation

О курсе

In this course, 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. Throughout each lesson, you’ll gain the main skills needed to “plan” your artificial intelligence acquisition, the second phase of the “See, Plan, Act” framework introduced in the “Generative AI in Business” series. 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. This is the second course in the “Generative AI in Business,” a course series for business professionals interested in using generative AI to support, enhance, and amplify the work of their organizations.

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Andrew Wu

Associate Professor of Technology and Operations