Machine Age of Customer Insight

Introduction; Martin Einhorn, Michael Loeffler, Emanuel de Bellis, Andreas Herrmann, and Pia BurghartzChapter 1. Transformation of Customer Insights; Martin Einhorn and Michael Loeffler
Chapter 2. Intelligent Applications in the Modern Sales Organization; Gilberto Picareta, Martin Kloehn, and Eugenie Weissheim
Chapter 3. Voice and Facial Coding in Market Research; Niels Neudecker, Deepak Varma, David Wright, and Robert Powell
Chapter 4. Machine-Driven Content Marketing; Javiera M. Guedes, Akinbami Akinwale, and Maria Requeman Fontecha
Chapter 5. Leveraging Customer Insights with 5G; Marco Ottawa
Chapter 6. Overview of Machine Learning Tools; Brett Lantz
Chapter 7. Neural Networks and Deep Learning; Hongming Wang, Ryszard Czerminski, and Andrew C. Jamieson
Chapter 8. Classification Using Decision Tree Ensembles; Jochen Hartmann
Chapter 9. Text Analytics and Natural Language Processing; Ted Kwartler
Chapter 10. A Step-By-Step Guide for Data Scraping; Reto Hofstetter
Chapter 11. Data Privacy: A Driver for a Competitive Advantage; Timo Jakobi, Max von Grafenstein, and Thomas Schildhauer
Chapter 12. Data Collection: Welcome to the Experience Economy; David Mingle
Chapter 13. Data Growth: Generating Business Value with Cloud Services; Gerrit Kazmaier
Chapter 14. Data Competitions: Crowdsourcing With Data Science Platforms; Jenny Lena Zimmermann
Chapter 15. Data Processing: Kontosensor as an Application of Predictive Analytics; Raimund Blache, Lars Fetzer, Rene Michel, and Tobias von Martens
Chapter 16. Data Visualization: The Power of Storytelling; Ted Frank

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• Vendas e gestão do marketing
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machine learning; customer insight; artificial intelligence; data analytics; marketing