Description
BPB Publications Generative AI for Enterprises Essential insights for decision makers by Vishal Anand
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.
Table of Contents
The Rise of Generative AI in Enterprises
Complex Needs of Production
Model Selection for Enterprises
Model Deployment for Enterprises
Operating System for Enterprises
Prompt Engineering for Enterprises
Fine-tuning for Enterprises
Orchestration of Generative AI Workflows
Six Ethical Dimensions for Enterprises
Designing a Target Operating Model
Cost Optimization Strategies
Retrieval-augmented Generation for Enterprises
Model as a Service for Enterprises
Confidential AI
Latency in Generative AI Solutions
Multi-modal Multi-agentic Assistant Framework for Enterprises
About the Authors
Vishal has 21+ years of ingenuity experience in the field of IT, performing various technical leadership roles across the globe spanning from delivery, architecture, solutioning, offerings, product engineering, and hybrid cloud transformation. He works with IBM as Global Chief Technologist for hybrid cloud and generative AI transformation, serving global clients across industries. He is an IBM Master Inventor with many patented inventions. He is also an Open Group Certified Distinguished Architect, IBM Certified Thought Leader Architect, Fellow of the British Computer Society, and Top Voice on AI.