The Value Vector - Building Scalable Generative AI-Based Applications

Learn how to bring Generative AI applications to life, from conception to production, ensuring they deliver true business value. Follow Dr. Anya s story as she implements AI in day-to-day business solutions, immersing you in the real challenges of AI-based product development and deployment. Through her journey and notes, you will experience a wide range of challenges and solutions firsthand, demonstrating how AI can be translated into compelling business cases, efficient technical architectures, and innovative applications.
The book begins with you understanding the AI Value Compass a strategic framework that will provide you with a structure for AI implementation. It then dives into AI-led innovation and how you can extract the most valuable and interesting ideas from the waves of creative thinking that emerges from your organization. It also addresses AI literacy, helping you guide your teams in using AI to tackle the most pressing business challenges. 
Next, you will find a roadmap for creating a Proof of Concept for your AI application that don t become outdated before review, showing how to build solutions that deliver value rapidly and efficiently. The journey continues as Dr. Anya guides you from a POC to production, teaching how to scale Generative AI applications for enterprise deployment. The book then tackles governance, security, and ethics - all of which are crucial aspects for implementing AI responsibly and sustainably. The final chapter explores the next wave of AI, introducing you to the era of AI agents.   
This book, by providing a comprehensive guide that combines practical advice, ethical considerations, and an incredibly engaging narrative, aims to equip you with the knowledge and tools you will need to successfully implement Generative AI projects that deliver real business value.

What You Will Learn:

• How to identify and prioritize valuable generative AI use cases that help organizations create a path to value
• Techniques for developing effective POCs and transitioning to full-scale production , including architectural considerations for enterprise readiness
• Essential ethical considerations in AI-based solution development and strategies to prevent misuse
• Select, fine-tune and integrate AI models and avoid common pitfalls

Who is this book for: Professionals involved in AI product development and deployment, including developers, architects, project managers, business analysts, and CXOs.

List of contents

Prologue How to Read This Book.- Chapter 1 - The Value Compass - Navigating the AI Hype.- Chapter 2 - The GenAI Idea Maze - Finding Gold Among the Glitter.- Chapter 3 - Proof or Dare - Reimagining POCs in the GenAI Playground.- Chapter 4 - Code to Scale - Engineering GenAI for Production.- Chapter 5 - Guardrails - Building Habits for Governance, Security and Ethics.- Chapter 6 - The Era of AI agents - Understanding the Next Wave of AI.

About the author

Jaydeep Chakrabarty is a versatile technology leader with over two decades of experience across full-stack development, infrastructure, experience and visual design, project management, quality analysis, and security. He is passionate about open-source projects and has contributed to notable initiatives such as Talisman, OpenStack, Report-mine, Taiko, and EEG studies. He has served as the Head of AI and Generative AI for Thoughtworks in India and the Middle East, and he is currently the Director of AI in Tech at Piramal Finance. He regularly shares his insights through national newspapers, including The Hindu's tech column, and other prestigious national and international publications. He has been recognised with multiple awards for his visionary leadership, including Asia’s Leadership Award, Global Technology Influencer of the Year (Dubai), and the Most Impactful & Visionary Personality to Look for in 2025. 

Harinee Muralinath is a senior technology and security leader, currently serving as the Business Information Security Officer (BISO) for India and the Middle East at Thoughtworks. Throughout her career, she has played diverse roles in software delivery, including quality analysis, development, and project management. She established the security practice at Thoughtworks India as the Security Practice Lead and went on to serve as Capability Lead, Head of Capability, and Head of Security for India, as well as the Global Community Lead for Security. Harinee is deeply passionate about building quality in software delivery, believing it is more of a cultural shift than a technical one. She is driven by her fascination with cultivating an organic culture of security, ethical practices, innovation and open source contributions are her constant motivations. Recognised with Women in Corporate Awards and as a Woman in Tech leader in India, Harinee believes in growing with the community. She regularly shares her knowledge through national and international conferences, published insights, and mentoring programs that encourage young innovators and women in technology.

Summary

Learn how to bring Generative AI applications to life, from conception to production, ensuring they deliver true business value. Follow Dr. Anya’s story as she implements AI in day-to-day business solutions, immersing you in the real challenges of AI-based product development and deployment. Through her journey and notes, you will experience a wide range of challenges and solutions firsthand, demonstrating how AI can be translated into compelling business cases, efficient technical architectures, and innovative applications.
The book begins with you understanding the AI Value Compass – a strategic framework that will provide you with a structure for AI implementation. It then dives into AI-led innovation and how you can extract the most valuable and interesting ideas from the waves of creative thinking that emerges from your organization. It also addresses AI literacy, helping you guide your teams in using AI to tackle the most pressing business challenges. 
Next, you will find a roadmap for creating a Proof of Concept for your AI application that don’t become outdated before review, showing how to build solutions that deliver value rapidly and efficiently. The journey continues as Dr. Anya guides you from a POC to production, teaching how to scale Generative AI applications for enterprise deployment. The book then tackles governance, security, and ethics - all of which are crucial aspects for implementing AI responsibly and sustainably. The final chapter explores the next wave of AI, introducing you to the era of AI agents.   
This book, by providing a comprehensive guide that combines practical advice, ethical considerations, and an incredibly engaging narrative, aims to equip you with the knowledge and tools you will need to successfully implement Generative AI projects that deliver real business value.

What You Will Learn:

• How to identify and prioritize valuable generative AI use cases that help organizations create a path to value
• Techniques for developing effective POCs and transitioning to full-scale production , including architectural considerations for enterprise readiness
• Essential ethical considerations in AI-based solution development and strategies to prevent misuse
• Select, fine-tune and integrate AI models and avoid common pitfalls

Who is this book for: Professionals involved in AI product development and deployment, including developers, architects, project managers, business analysts, and CXOs.

Product details

• Authors: Jaydeep Chakrabarty, Harinee Muralinath
• Publisher: Springer, Berlin
• Languages: English
• Product format: Paperback / Softback
• Release: 18.12.2025
• EAN: 9798868818790
• ISBN: 9798868818790
• No. of pages: 169
• Illustrations: II, 169 p. 76 illus., 68 illus. in color.
• Subjects: Natural sciences, medicine, IT, technology > IT, data processing > IT; Open-Source und sonstige Betriebssysteme, Artificial Intelligence, Wirtschaftsmathematik und -informatik, IT-Management, Unternehmensanwendungen, Open Source, IT in Business, AI Ethics, Intelligence Infrastructure, Generative AI applications, Proof of concept (POC), Gen AI use cases, Business value in AI