AI in Banking Practical Applications and Case Studies /
Big data and artificial intelligence (AI) cannot remain limited to academic theoretical research. It is crucial to utilize them in practical business scenarios, enabling cutting-edge technology to generate tangible value. This book delves into the application of AI from theory to practice, offering...
Gardado en:
| Main Authors: | , , |
|---|---|
| Autor Corporativo: | |
| Formato: | Electrónico eBook |
| Idioma: | inglés |
| Publicado: |
Singapore :
Springer Nature Singapore : Imprint: Springer,
2025.
|
| Edición: | 1st ed. 2025. |
| Subjects: | |
| Acceso en liña: | https://doi.org/10.1007/978-981-96-3837-6 |
| Tags: |
Engadir etiqueta
Sen Etiquetas, Sexa o primeiro en etiquetar este rexistro!
|
Table of Contents:
- Part I: Smart Marketing
- Chapter 1. Mobile Banking Potential Monthly Active Customer Mining: Automated Machine Learning Techniques
- Chapter 2. Retail Potential High-value Customer Identification: Graph Neural Network Technology
- Chapter 3. Accurate Recommendation for Banking: Recommender System
- Chapter 4. Assessing the Value of Bank Online Marketing Posts: Reinforcement Learning Techniques
- Chapter 5: Modeling Binary Causal Effects of Related Repayments: Causal Inference Techniques
- Part II: Intelligent Risk Control
- Chapter 6. Telecom Fraud Money Laundering Account Recognition Case: Multiple Machine Learning Techniques
- Chapter 7. Developing a Dialectal Speech Phone Collection Bimodal Robot from Scratch: Intelligent Voice Q&A Technology
- Chapter 8. Chattel Collateral Warehouse Visual Monitoring Project: Image Understanding Technology
- Chapter 9. Personal Loan Delinquency Prediction Project: Bayesian Network Techniques
- Part III: Intelligent Operation
- Chapter 10. Enterprise WeChat Private Traffic Customer Cold Start Program: Automated Control Technology
- Chapter 11 Intelligent Inspection Robot for Commercial Bank Data Centers: Computer Vision Technology.