Scaling Generative AI : An Operational Readiness Framework for Enterprises.

Format:

Book

Author/Creator:

Prabhu, Amit.

Language:

English

Physical Description:

1 online resource (240 pages)

Edition:

1st ed.

Place of Publication:

New York : Business Expert Press, 2025.

Summary:

This book contains the operational readiness framework, providing step-by-step guidance to enterprises to prepare themselves for the scaled adoption of generative AI. Different enterprises have reacted differently to the generative AI hype. The real value of generative AI lies in the scaled adoption. Only 10 percent of the enterprises have been able to scale. A staggering 90 percent of them are lagging. This has caused a "huge gap" between the scaling and lagging firms. Closing this huge gap is a daunting task. To bridge this gap, enterprises must be operationally ready in the following four areas: Customer Technology Data People This book contains the operational readiness framework, providing step-by-step guidance to enterprises to prepare themselves for the scaled adoption of generative AI. Although the framework is primarily for the executives, leaders, managers, consultants, strategists, and transformation drivers at the lagging firms, the scaling firms can use it to assess their current operational readiness levels and mitigate the prevailing gaps. It can also provide useful insights to the entrepreneurs in the generative AI value chain to develop unique solutions. Additionally, it can help technology and management students to align themselves better to embrace new challenges of the corporate world they will soon enter. The success of this book lies in how effectively the readers apply the framework at their workplace. This book is not just about information...it's all about transformation !

Contents:

Front cover

Half title

Title

Copyright

Description

Contents

Praise for Scaling Generative AI

Introduction

PART 1 Fundamentals

CHAPTER 1 The Scaled Adoption

Adoption Phase

The Hype

The Probability of Scaled Adoption

Investing in GenAI Scaled Adoption

Convertible and Nonconvertible Pilots

Clear Purpose

Strategic Alignment

Well-defined Scope

Impact Analysis

Leadership Support

Relevant Data

Metrics

Right Teams

Technology Collaboration

Continuous Evaluation and Governance

Communication Plan

Final Assessment

The Case of Enterprises: Alpha, Beta, Gamma

Can Skipping Pilots Help?

Dependencies between Convertible Pilot, GenAI Solution, and Operational Readiness

Summary

CHAPTER 2 Operational Readiness Framework

Operational Readiness Framework

GenAI Maturity Assessment

Group Activity

Assessment

Scaled Adoption Strategy

Readiness Areas

Boosters

Launchpad

PART 2 Boosters

CHAPTER 3 Cultivating Right Mindset

Cultivating Pragmatic Mindset

Step 1: Assessment

Step 2: Targeted Development Programs

CHAPTER 4 Leveraging AI Maturity

Upgrading Maturity to Pioneers

Step 2: Deployment Programs

DBS-Success Story

IBM Watson-Failure Story

CHAPTER 5 Improving VITA Score

Functionwise VITA

Industrywise VITA

SUMMARY OF PART 2 Boosters

PART 3 Readiness Area Customer

CHAPTER 6 Understanding Customer: Readiness Audit, SPIN Engagement, Journey Maps

Defining Objectives

Selecting a Specific Use Case Sub-scenario

Data Acquisition and Preparation

Selecting LLM and GenAI Framework

Designing Workflows

Backend Integration

Testing and Validation

Continuous Improvement

Customer Readiness Audit.

Engaging With Customer

Preparing Customer Journey Maps

CHAPTER 7 Positioning Business: Value Chain, Use Cases, Products

Value Chain

Use Cases

Functionwise Use Cases

Top Industry-Agnostic Use Cases

Products

CHAPTER 8 Quantifying Value: Productivity Gains, Business Case, Key Metrics

Productivity Gains

Business Case

Business Case Development: Case Study

Key Metrics

SUMMARY OF PART 3 Readiness AreaCustomer

PART 4 Readiness Area Technology

CHAPTER 9 Large Language Models: Selection, Fine-Tuning Versus RAG, Curation

LLM Selection Assessment

Business Requirements

Core Model Characteristics

Model Performance

Ethical Considerations

Business Architecture

Fine-Tuning Versus RAG

When to Select RAG Over Fine-Tuning?

LLM Curation

Activity

CHAPTER 10 Manage Assets: Capabilities, Infrastructure, Technical Debt Reduction

Build Capabilities

Assess Infrastructure

Infrastructure Readiness Assessment Survey

Technical Debt Reduction

CHAPTER 11 Right Selections: Ecosystems, Vendor, Green AI

Ecosystem Selection

Vendor Selection

Selection Procedure

Green AI

SUMMARY OF PART 4 Readiness Area Technology

PART 5 Readiness Area Data

CHAPTER 12 Data Acquisition: Purpose, Identify, Acquire

Purpose

Identify

Acquire

CHAPTER 13 Data Preparation: Clean, Annotate, Structure

Biases

Hallucinations

Clean

Removing Biases

Mitigating Hallucinations

Annotate

Structure

CHAPTER 14 Data Production: Train, Evaluate, Democratize

Train

Evaluate.

Red Teaming

Example of Training and Evaluating a Model

Democratize

SUMMARY OF PART 5 Readiness Area Data

PART 6 Readiness Area People

CHAPTER 15 Frameworks: Center of Excellence, Legal, Responsible AI

Center of Excellence

Legal Framework

Intellectual Property

Data Protection and Compliance Ownership

Transparency and Explainability

Confidentiality

Individual Rights

A New Legal

Responsible AI

New RAI Team

Who Is Responsible for AI?

CHAPTER 16 Reskilling: Motivating People, Matching Roles, Personalizing Learning

Motivating People

Creating AI Reskilling Awareness

Cultivating Growth Mindset

Managing Middle Managers

Continuous Coaching and Mentoring

Matching Roles

Personalized Learning

CHAPTER 17 Leadership: Right Balancing, Cultivating Competencies, Championing GenAI

Right Balancing

Cultivating Competencies

Championing GenAI

The Rule of 3

SUMMARY OF PART 6 Readiness Area People

PART 7 Practical Application of Operational Readiness Framework

CHAPTER 18 Talent XYZ: A Fictitious Case Study

Conclusion

Notes

Chapter 1

Chapter 3

Chapter 4

Chapter 5

Chapter 6

Chapter 7

Chapter 8

Chapter 9

Chapter 10

Chapter 11

Chapter 12

Chapter 13

Chapter 15

Chapter 16

References

About the Author

Index

Back cover.

Notes:

Description based on publisher supplied metadata and other sources.

Other Format:

Print version: Prabhu, Amit Scaling Generative AI

ISBN:

9781637427996

OCLC:

1520917324