Explore the transformative potential of artificial intelligence in the marketing landscape. This course is designed to help you distinguish between the opportunities for developing new AI algorithms and those for applying existing AI technologies in marketing. You will learn how to identify and capitalize on AI-driven opportunities to enhance marketing strategies, improve customer engagement, and drive business growth. Delve into the crucial role of data in AI applications, discovering how to collect, analyze, and leverage data to inform marketing decisions. Understand the process of mapping and managing the customer journey with AI tools, ensuring personalized and efficient customer experiences. Learn to assess the impact of AI implementations on your marketing efforts, measuring success and refining strategies for optimal results. This course also addresses the critical issue of bias in AI, providing insights on how to recognize and mitigate biases in machine learning algorithms to ensure fair and ethical marketing practices. By the end of this course, you will be equipped with the knowledge and skills to harness AI's full potential in the marketing domain. Join us to unlock the future of marketing with AI.
What Can AI Do for Marketing?
This course is part of AI for Marketing Specialization
Instructor: David Schweidel
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August 2024
6 assignments
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There are 6 modules in this course
Get to know your instructor, Dr. David Schweidel, and begin with an introduction to AI and marketing.
What's included
3 videos3 readings1 assignment3 discussion prompts
This module explores how to leverage insights from the customer journey to influence consumer behavior, delving into various conceptual models like the purchase funnel and loyalty loop, and detailing each stage of the customer journey.
What's included
2 videos3 readings1 assignment
This module emphasizes the significance of eliminating friction from the customer experience, identifies key engagement opportunities throughout the customer journey, and clarifies the differences between mapping and managing the customer experience to enhance overall satisfaction.
What's included
2 videos4 readings1 assignment1 peer review
This module teaches how to critically evaluate AI applications by considering alternative explanations, identifying the necessary conditions for establishing causality, and mastering comprehensive evaluation techniques.
What's included
2 videos3 readings1 assignment
Building on the previous module, this module examines two dimensions on which AI can support marketing. This module will first walk you through ways in which AI can be used to tailor marketing content delivered to consumers. It will then explore ways in which the content can be targeted based on contextual factors that will make messaging more effective.
What's included
2 videos3 readings1 assignment1 discussion prompt
This module delves into the origins of AI bias, explores its potential consequences, and clearly defines what constitutes bias in AI algorithms to promote a deeper understanding and mitigation of these issues.
What's included
3 videos6 readings1 assignment1 discussion prompt
Instructor
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Emory University
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