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Оглавление - 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