Оглавление
Группа авторов. Artificial intelligence with a human face. How neural networks build emotional connections with customers
Introduction
Chapter 1. Emotions and marketing: the basis of interaction
1.1 Why emotions work better than facts
1.2 The role of personalization: from CRM systems to neural networks
Conclusion to chapter 1
Chapter 2. AI and emotions: how it works
2.1 Neural networks as emotion readers
2.2 How neural networks create a unique experience based on behavioral analysis
2.3 Generative AI and creative content
Conclusion to chapter 2
Chapter 3. How to create emotional connections using neural networks
3.1 Personalization of communication and NLP
3.2 Use of real-time data for in-the-moment customer engagement
3.3 Voice assistants as emotional agents
Conclusions for chapter 3
Chapter 4. Ethics and boundaries
4.1 Risks of excessive use of customer data
4.2 Emotional manipulator or assistant?
Conclusion to chapter 4
Chapter 5. The future of neuromarketing
5.1 Hyper-personalization: how AI will anticipate desires before the customer becomes aware of them
5.2 Metaverses as a new marketing platform
5.3 The impact of metaverses on emotional experience
5.4 Synergy between humans and AI
Conclusion of chapter 5
Conclusion
References
