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?
Dieser Kurs ist Teil von Spezialisierung AI for Marketing
Dozent: David Schweidel
Bei 
enthalten
Kompetenzen, die Sie erwerben
- Kategorie: Marketing Concepts
- Kategorie: Applications Of Artificial Intelligence
Wichtige Details
Zu Ihrem LinkedIn-Profil hinzufügen
August 2024
6 Aufgaben
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In diesem Kurs gibt es 6 Module
Get to know your instructor, Dr. David Schweidel, and begin with an introduction to AI and marketing.
Das ist alles enthalten
3 Videos3 Lektüren1 Aufgabe3 Diskussionsthemen
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.
Das ist alles enthalten
2 Videos3 Lektüren1 Aufgabe
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.
Das ist alles enthalten
2 Videos4 Lektüren1 Aufgabe1 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.
Das ist alles enthalten
2 Videos3 Lektüren1 Aufgabe
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.
Das ist alles enthalten
2 Videos3 Lektüren1 Aufgabe1 Diskussionsthema
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.
Das ist alles enthalten
3 Videos6 Lektüren1 Aufgabe1 Diskussionsthema
Dozent
Empfohlen, wenn Sie sich für Marketing interessieren
Emory University
University of Virginia
Coursera Project Network
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