Associate Professor of Technology and Operations, Michael R. and Mary Kay Hallman Fellow
4 Learning Experiences
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With companies worldwide exploring how to harness generative AI’s potential, it’s critical to make informed decisions about when and how to adopt these technologies. The “Generative AI in Business” course series provides business leaders with a step-by-step guide to incorporate generative AI into their business operations, product offerings, and organizational structures. Through this series, you’ll gain a deep understanding of generative AI’s capabilities, learn to create a tailored action plan based on your specific business challenges, and develop effective strategies to execute that plan. By the end, you'll be equipped with the tools and knowledge to evaluate, implement, and scale generative AI solutions that meet your unique business needs.
Associate Professor of Technology and Operations, Michael R. and Mary Kay Hallman Fellow
4 Learning Experiences
Course content developed by U-M faculty and managed by the university. Faculty titles and affiliations are updated periodically.
Beginner Level
No prior experience required.
Discover how businesses use generative AI to boost productivity and innovation through real-world examples and the See, Plan, Act framework.
Develop a planning framework to align business problems with generative AI capabilities and build a roadmap for successful integration.
Build and launch your AI solution using a five-step execution process and learn strategies for scaling and sustaining success.
We will map out an actionable strategic guide to implement generative AI in your business. ... I developed this approach by working with and analyzing the successful digital transformation journeys of numerous companies across many diverse sectors.
Andrew Wu Associate Professor of Technology and Operations, Stephen M. Ross School of Business