Generative AI for Financial Services : Challenges, anti-patterns, and best practices
Description: Generative AI for Financial Services is a book targeted at any AI practitioner who wants to understand how generative AI works on a fundamental level and extend that learning to risks, challenges, and opportunities in regulated industries like financial services.This book explores gener...
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Livre numérique |
| Sprache: | Anglais |
| Veröffentlicht: |
New Delhi :
BPB Publications
2024.
Paris : Cyberlibris |
| Online Zugang: | Accès Université d'Orléans et IFPM |
| Anmerkung: |
Couverture. https://static2.cyberlibris.com/books_upload/136pix/9789365891843.jpg Cyberlibris (ScholarVox) corpus Informatique |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Generative AI for Financial Services, Challenges, anti-patterns, and best practices, Vikesh Pandey, Arnav Khare, New Delhi, BPB Publications, 2024, 1 vol. (402 p.), 978-93-6589-184-3 |
Inhaltsangabe:
- 1. Introduction to Generative AI
- 2. Types of Foundation Models
- 3. Generative AI Implementation Approaches
- 4. Generative AI Use-cases in Financial Services
- 5. Generative AI Challenges for Financial Services
- 6. Generative AI Anti-Patterns for Financial Services
- 7. Architectural Considerations in Generative AI
- 8. Use-case: Improving Customer Experience with Generative AI
- 9. Use-case: Contact Center Insights with Generative AI
- 10. Use-case: Fine-tuning for Financial Services
- 11. Use case: Automating ESG Analysis Using Agents
- 12. Choosing the Right Implementation Approach
- 13. Increasing Trustworthiness in Generative AI
- 14. Building Foundation Model Operations Practices