Generative AI for Enterprises : Essential insights for decision makers

Enregistré dans:
Détails bibliographiques
Auteur principal: Anand, Vishal. (Auteur)
Support: E-Book
Langue: Anglais
Publié: New Delhi : BPB Publications.
Autres localisations: Voir dans le Sudoc
Résumé: Description: Generative AI can streamline technical and business processes, increase efficiency, and free up your resources' time to focus on more strategic initiatives. This book takes the readers through a series of steps to deepen their understanding of the forces that shape an organization's implementation of Generative AI at scale and successfully dealing with them.This book starts with GenAI potential uses, challenges and enterprise deployment strategies. You will learn to scale GenAI models along with LLMOps, choose the right LLM, and use prompt engineering and fine-tuning to customize the outputs. This book introduces a GenAI operating system as well as an orchestration platform for workflow automation. It discusses ethical considerations, designing a target operating model, cost optimization, Retrieval-augmented Generation (RAG), Model as a Service (MaaS), and Confidential AI. Finally, it explores the future of multi-modal AI assistants in enterprises.This book makes it easier for readers to debunk myths, and address fallacies and common misconceptions that could harm organizational investment and reputation. There are also practical and enterprise class scenarios and information that could help in improving implementations, within your organization, enabling you to achieve success beyond scaling challenges. Key Features: Understand challenges and dimensions of model at scale ; Understand model selection criteria, deployment patterns, and positioning ; Design operating system and demarcation of landing zones ; Understand enterprise application of prompt engineering and fine-tuning ; Understand operating model, orchestration platform, multi AI assistants and ethical considerations ; Understand various latency factors for Gen AI solutions. What you will learn: Strategies for scaling GenAI models and discovering LLMOps for managing them ; How to leverage GenAI to streamline enterprise class processes, boost efficiency, and explore new possibilities ; Implementations in the enterprise class deployments, addressing potential issues and connecting with enablers and accurate growth strategy and execution principles. Who this book is for: This book is for decision makers like CIOs, CTOs, CAIOs, Enterprise Architects, Chief Engineers, and anyone who wishes to learn how to have a rewarding implementation of Generative AI for their organizations and clients
Accès en ligne: Accès à l'E-book
LEADER 04440nmm a2200409 i 4500
001 ebook-280851235
005 20241014154548.0
007 cu|uuu---uuuuu
008 241014s2024||||ii ||||g|||| ||||||eng d
035 |a FRCYB88958032 
035 |a FRCYB26088958032 
035 |a FRCYB24888958032 
035 |a FRCYB29388958032 
035 |a FRCYB084688958032 
035 |a FRCYB087588958032 
035 |a FRCYB56788958032 
035 |a FRCYB097088958032 
035 |a FRCYB087088958032 
040 |a ABES  |b fre  |e AFNOR 
041 0 |a eng  |2 639-2 
100 1 |a Anand, Vishal.  |4 aut.  |e Auteur 
245 1 0 |a Generative AI for Enterprises :  |b Essential insights for decision makers   |c Vishal Anand. 
264 1 |a New Delhi :  |b BPB Publications. 
264 2 |a Paris :  |b Cyberlibris,  |c 2024. 
336 |b txt  |2 rdacontent 
337 |b c  |2 rdamedia 
337 |b b  |2 isbdmedia 
338 |b ceb  |2 RDAfrCarrier 
500 |a Couverture (https://static2.cyberlibris.com/books_upload/136pix/9789355516978.jpg). 
506 |a L'accès en ligne est réservé aux établissements ou bibliothèques ayant souscrit l'abonnement  |e Cyberlibris 
520 |a Description: Generative AI can streamline technical and business processes, increase efficiency, and free up your resources' time to focus on more strategic initiatives. This book takes the readers through a series of steps to deepen their understanding of the forces that shape an organization's implementation of Generative AI at scale and successfully dealing with them.This book starts with GenAI potential uses, challenges and enterprise deployment strategies. You will learn to scale GenAI models along with LLMOps, choose the right LLM, and use prompt engineering and fine-tuning to customize the outputs. This book introduces a GenAI operating system as well as an orchestration platform for workflow automation. It discusses ethical considerations, designing a target operating model, cost optimization, Retrieval-augmented Generation (RAG), Model as a Service (MaaS), and Confidential AI. Finally, it explores the future of multi-modal AI assistants in enterprises.This book makes it easier for readers to debunk myths, and address fallacies and common misconceptions that could harm organizational investment and reputation. There are also practical and enterprise class scenarios and information that could help in improving implementations, within your organization, enabling you to achieve success beyond scaling challenges. Key Features: Understand challenges and dimensions of model at scale ; Understand model selection criteria, deployment patterns, and positioning ; Design operating system and demarcation of landing zones ; Understand enterprise application of prompt engineering and fine-tuning ; Understand operating model, orchestration platform, multi AI assistants and ethical considerations ; Understand various latency factors for Gen AI solutions. What you will learn: Strategies for scaling GenAI models and discovering LLMOps for managing them ; How to leverage GenAI to streamline enterprise class processes, boost efficiency, and explore new possibilities ; Implementations in the enterprise class deployments, addressing potential issues and connecting with enablers and accurate growth strategy and execution principles. Who this book is for: This book is for decision makers like CIOs, CTOs, CAIOs, Enterprise Architects, Chief Engineers, and anyone who wishes to learn how to have a rewarding implementation of Generative AI for their organizations and clients 
559 2 |b 1. The Rise of Generative AI in Enterprises  |b 2. Complex Needs of Production  |b 3. Model Selection for Enterprises  |b 4. Model Deployment for Enterprises  |b 5. Operating System for Enterprises  |b 6. Prompt Engineering for Enterprises  |b 7. Fine-tuning for Enterprises  |b 8. Orchestration of Generative AI Workflows  |b 9. Six Ethical Dimensions for Enterprises  |b 10. Designing a Target Operating Model  |b 11. Cost Optimization Strategies  |b 12. Retrieval-augmented Generation for Enterprises  |b 13. Model as a Service for Enterprises  |b 14. Confidential AI  |b 15. Latency in Generative AI Solutions  |b 16. Multi-modal Multi-agentic Assistant Framework for Enterprises 
856 |q HTML  |u https://srvext.uco.fr/login?url=https://univ.scholarvox.com/book/88958032  |w Données éditeur  |z Accès à l'E-book 
886 2 |2 unimarc  |a 181  |a i#  |b xxxe## 
993 |a E-Book  
994 |a BNUM 
995 |a 280851235