Revolutionize Your Marketing Strategy

Artificial Intelligence in Marketing Course and Case Studies

• The course explores the use of AI in marketing, including targeting, personalization, content creation, analytics, optimization, customer service, sales, research, and ethics.

• The course objectives include understanding the basics of AI, identifying ways AI can be used in marketing, analyzing case studies, and developing a plan for using AI in marketing campaigns.

• The course requires attendance, participation, completion of readings and exercises, and submission of a final project.

• The course uses selected weekly case studies and textbooks TBD.

• There are 13 weeks of classes with topics ranging from AI-powered targeting to ethical considerations of using AI in marketing.

• Each week includes a real-world case study of a leading company using AI in marketing.

• The course provides URLs to case studies or articles that can be used for class discussions.

• Case studies include Netflix’s use of AI to recommend movies and TV shows, Amazon’s use of AI to target marketing campaigns, Spotify’s use of AI to personalize music recommendations, Buzzfeed’s use of AI to create quizzes and listicles, Coca-Cola’s use of AI to analyze marketing data, and Nike’s use of AI to optimize marketing campaigns.

• Other case studies cover how AI can be used for customer service, sales, and marketing research.

• The course also covers the ethical considerations of using AI in marketing and real-world examples of successful AI use in marketing.

• The final project requires students to present their plan for using AI to improve their own marketing campaigns.

• The course provides a strong framework for recognizing how AI can be used to create more effective and efficient marketing campaigns.AI in Marketing: Case Studies and Ethical Considerations

• AWS Contact Center Intelligence (CCI) Solutions use AI and machine learning to improve customer experience in contact centers.

• Salesforce AI automates and optimizes sales processes by predicting customer behavior and prioritizing high-priority tasks.

• Google Cloud offers AI-powered marketing analytics tools that consolidate data from various sources for a holistic view of marketing analytics.

• Facebook has been criticized for creating "filter bubbles" that profit from the proliferation of extremism, hate speech, and disinformation.

• AI ethics is a growing concern among tech giants like Google, Facebook, and Microsoft.

• Netflix uses AI and machine learning to personalize recommendations for its users based on viewing data, search history, and rating data.

• Netflix also uses algorithms to break viewers' preconceived notions and find shows that they might not have initially chosen.

• The course emphasizes a practical and hands-on approach to AI in marketing, with a focus on data-driven strategies and real-world case studies.

• The course covers the potential for AI to revolutionize marketing strategies, emphasizing the importance of personalization and optimization.

• The course also addresses ethical considerations in the use of AI in marketing, such as the potential for bias and the need for transparency.

• The course title options highlight the practical applications of AI in marketing and the potential for students to master these techniques.

• The course title options also emphasize the potential for AI to transform the field of marketing and the importance of data-driven approaches.