Infrastructure for AI Network Design and Architecture : Building self-learning networks for the age of intelligence (English Edition)
Description Artificial intelligence is redefining the digital backbone of our world. As data demands explode and connectivity becomes intelligent, networks are no longer passive pipelines; rather, they are evolving into dynamic, self-learning ecosystems that sense, decide, and adapt in real time. Th...
Salvato in:
| Autore principale: | |
|---|---|
| Natura: | Livre numérique |
| Lingua: | Anglais |
| Pubblicazione: |
New Delhi :
BPB Publications
2025.
Paris : Cyberlibris |
| Accesso online: | Accès Université d'Orléans et IFPM |
| Nota: |
Couverture. https://static2.cyberlibris.com/books_upload/300pix/9789365899085.jpg Cyberlibris (ScholarVox) corpus Informatique |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Infrastructure for AI Network Design and Architecture, Building self-learning networks for the age of intelligence (English Edition), Scott Andersen, New Delhi, BPB Publications, 2025, 1 vol. (324 p.), 978-93-6589-908-5 |
Sommario:
- Section I: AI's Foundational Impact
- Section II: The Impact of AI on Organizational Security
- Section III: Improving Your Organization's Network Structure
- APPENDIX A: AI Integration Checklist
- APPENDIX B: Network Build and Enablement
- APPENDIX C: History of AI HDMI
- APPENDIX D: References
- 1. Understanding Your Network
- 2. AI's Impact on Modern Organizational Structure
- 3. AI-driven Transformation in Networks
- 4. AI and Decision-making, Collaboration, and Innovation
- 5. AI in Cybersecurity
- 6. Implementing AI-driven Security
- 7. Managing Artificial Intelligence Risks
- 8. Understanding Data Debt
- 9. Reducing Data Debt with AI
- 10. Case Studies in Data Debt Reduction
- 11. Evaluating Your Current Network for AI Readiness
- 12. Designing AI-optimized Networks
- 13. Step-by-step Implementation Plan for AI Networks
- 14. Sustaining and Scaling AI Initiatives
- 15. Conclusion