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This podcasts discusses a widely cited 2021 marketing science journal article proposing a strategic framework for integrating artificial intelligence (AI) into marketing. The framework categorizes AI into three types—mechanical, thinking, and feeling—and applies them across the marketing research, strategy, and action cycle. The podcast discusses how each AI type can enhance each marketing stage, from data collection and analysis to personalized messaging and dynamic pricing. The podcast also addresses challenges like data privacy and algorithmic bias, and suggests areas for future AI research in marketing. Ultimately, it offers an illuminating discussion and roadmap for businesses to leverage AI for competitive advantage.
By Paul RichardsonThis podcasts discusses a widely cited 2021 marketing science journal article proposing a strategic framework for integrating artificial intelligence (AI) into marketing. The framework categorizes AI into three types—mechanical, thinking, and feeling—and applies them across the marketing research, strategy, and action cycle. The podcast discusses how each AI type can enhance each marketing stage, from data collection and analysis to personalized messaging and dynamic pricing. The podcast also addresses challenges like data privacy and algorithmic bias, and suggests areas for future AI research in marketing. Ultimately, it offers an illuminating discussion and roadmap for businesses to leverage AI for competitive advantage.