Introduces the challenges and solutions of AI marketing through the AI Marketing Canvas, providing insights into the essentials of AI and machine learning in marketing, and guiding marketers through the five stages of implementation, with a case study on Starbucks.

Comprehensive overview of the state of AI research in marketing, covering topics such as AI economics, personalization, pricing, content generation, customer feedback research, natural language processing, deep learning, and anthropomorphism, showcasing the active and fertile landscape of AI applications in marketing.

Covers various machine learning and data analysis topics related to marketing and sales, including training models, neural networks, overfitting and regularization, support vector machines, and decision trees, with real-world case studies and technical detours to explain concepts in-depth.