AI and marketing<\/p>\n\n\n\n
One of the most important aspects of marketing is understanding what consumers want and need. Data science and AI can be used to help marketers collect and analyze data in order to understand the customer better.<\/p>\n\n\n\n
Data science<\/a> and AI are being applied to marketing in various ways. One of the most popular applications is sentiment analysis<\/a>. This technique calculates the sentiment of a sentence or paragraph, which can be used to track public opinion about a product or service.<\/p>\n\n\n\n Sentiment analysis can also be used for predictive analytics, which predicts future demand for products based on past data<\/a> and other factors. It can also be used in customer relationship management (CRM) to track customer satisfaction with a company\u2019s products and services.<\/p>\n\n\n\n Data science<\/a> also provides marketers with many opportunities for analyzing data to gain insights into consumer behavior. Data science<\/a> can be used to segment audiences based on their purchasing behavior, predict future trends based on current data, or even build predictive analytics models for new products.<\/p>\n\n\n\n On this podcast, I share some thoughts on the very interesting synergies between AI and marketing<\/a>.<\/p>\n\n\n\n