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Generative AI for Enterprises: Essential insights for decision makers
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.
Table of Contents
1. The rise of generative AI in enterprises
2. Complex needs of production
3. Model selection for enterprises
4. Model deployment for enterprises
5. Operating system for enterprises
6. Prompt engineering for enterprises
7. Fine-tuning for enterprises
8. Orchestration of generative AI workflows
9. Six ethical dimensions for enterprises
10. Designing a target operating model
11. Cost optimization strategies
12. Retrieval-augmented generation for enterprises
13. Model as a service for enterprises
14. Confidential AI
15. Latency in generative AI solutions
16. Multi-modal multi-agentic assistant framework
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.
Table of Contents
1. The rise of generative AI in enterprises
2. Complex needs of production
3. Model selection for enterprises
4. Model deployment for enterprises
5. Operating system for enterprises
6. Prompt engineering for enterprises
7. Fine-tuning for enterprises
8. Orchestration of generative AI workflows
9. Six ethical dimensions for enterprises
10. Designing a target operating model
11. Cost optimization strategies
12. Retrieval-augmented generation for enterprises
13. Model as a service for enterprises
14. Confidential AI
15. Latency in generative AI solutions
16. Multi-modal multi-agentic assistant framework
236 pages, Paperback
Published July 26, 2024
2 people are currently reading
2 people want to read
About the author
Vishal Anand
20 books7 followersVishal Anand is the #1 best-selling author of "The Gratitude Pocket Book: 101 Quotes to Shift Your Mindset, Embrace Positivity, and Appreciate Life's Blessings". He writes with the simple but profound belief that a happier, more peaceful life is accessible to everyone, one moment of gratitude at a time.
After observing how the frantic pace of modern life often leaves people feeling disconnected and overwhelmed, Vishal was inspired to create simple, powerful tools to help readers find calm and positivity. His work focuses on the science of positive psychology and habit formation.
His debut work, "The Gratitude Pocketbook," became a #1 best seller on Amazon, helping thousands of readers around the world begin their own journey toward joy, peace, and abundance.
Vishal lives and writes in Ontario, Canada.
After observing how the frantic pace of modern life often leaves people feeling disconnected and overwhelmed, Vishal was inspired to create simple, powerful tools to help readers find calm and positivity. His work focuses on the science of positive psychology and habit formation.
His debut work, "The Gratitude Pocketbook," became a #1 best seller on Amazon, helping thousands of readers around the world begin their own journey toward joy, peace, and abundance.
Vishal lives and writes in Ontario, Canada.
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