We are currently in an era dominated by A.I., with companies frequently promoting their advancements in A.I., machine learning, and deep learning, often falling short of true innovation. The term "A.I." has surpassed "Blockchain" and "Crypto" as the leading buzzword, with many startups leveraging it to attract venture capital. In this context, distinguishing between genuine advancements and marketing hype is crucial. The text explores A.I., machine learning, and deep learning through five specific use cases: sound, time series, text, image, and video. It guides marketing executives on how to harness these technologies to enhance their campaigns, improve customer segmentation, boost lead generation, and cultivate customer loyalty. Personalization, which involves using various data sources to tailor messages and experiences to individual users, is emerging as a key strategy in modern customer intelligence. The author simplifies complex A.I. concepts and demonstrates how marketers can apply the psychology of personalization to enhance campaign effectiveness and loyalty. Additionally, it advises companies on avoiding outdated industrial-age technologies in favor of a cohesive platform that integrates enterprise data warehouses with real-time social media content. By building analytical models and neural networks using both commercial and open-source technologies, businesses can gain deeper customer insights, strengthen their br
Andrew W. Pearson Book order (chronological)
