AI Success Beyond Perfect Data : Bridging enterprise AI strategy with agentic, data-driven LLM pipelines (English Edition)
Description AI has become the cornerstone of innovation in modern enterprises. However, the common misconception that perfect data is a prerequisite often stalls initiatives. This book challenges that narrative, proving that AI success is possible even with messy, incomplete, or evolving data landsc...
Đã lưu trong:
| Tác giả chính: | |
|---|---|
| Định dạng: | Livre numérique |
| Ngôn ngữ: | Anglais |
| Được phát hành: |
New Delhi :
BPB Publications
2025.
Paris : Cyberlibris |
| Truy cập trực tuyến: | Accès Université d'Orléans et IFPM |
| Chú thích: |
Couverture. https://static2.cyberlibris.com/books_upload/300pix/9789365899313.jpg Cyberlibris (ScholarVox) corpus Informatique |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • AI Success Beyond Perfect Data, Bridging enterprise AI strategy with agentic, data-driven LLM pipelines (English Edition), Dr. M. Maruf Hossain, New Delhi, BPB Publications, 2025, 1 vol. (650 p.), 978-93-6589-931-3 |
Mục lục:
- Section 1: Crafting the Strategic Foundation for AI Value
- Section 2: Ethical AI, Automation, and Implementation Decisions
- Section 3: Mastering Generative AI and Emerging AI Paradigms
- Section 4: Leading Enterprise AI Transformation
- 1. AI Leader's Strategic Mindset for Value Creation
- 2. Navigating AI Project Challenges and Measuring Success
- 3. Building Pragmatic Data Strategy and Foundation
- 4. Operationalizing Data Science for Business Success
- 5. Enterprise AI Platform
- 6. Ethical AI and Responsible Automation
- 7. Navigating Data Challenges without Synthetic Shortcuts
- 8. Business Imperative of GenAI and LLMs
- 9. Strategic Dilemma of AI Procurement
- 10. Leading and Overcoming Pitfalls in AI Automation
- 11. Ensuring Trustworthy AI Through Guardrails
- 12. Harnessing RAG and Prompt Engineering
- 13. Unlocking Next Frontier with Hybrid and Agentic AI
- 14. Next-Gen AI Applications
- 15. Evolving CDAO and AI-Decision Culture
- 16. Communicating AI Value to Executives
- 17. Scaling AI Initiatives and Managing Change
- 18. AI Governance and Ownership Bibliography