The Value Vector: Building Scalable Generative Ai-Based Applications
暫譯: 價值向量：構建可擴展的生成式AI應用程式
Chakrabarty, Jaydeep, Muralinath, Harinee
商品描述
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Next, you will find a roadmap for creating a Proof of Concept for your AI application that don't become outdated before review, showing how to build solutions that deliver value rapidly and efficiently.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.
商品描述(中文翻譯)
學習如何將生成式人工智慧應用程式從構思到生產實現，確保它們能夠帶來真正的商業價值。跟隨安雅博士的故事，了解她如何在日常商業解決方案中實施人工智慧，讓您沉浸於基於人工智慧的產品開發和部署的真實挑戰中。透過她的旅程和筆記，您將親身體驗各種挑戰和解決方案，展示如何將人工智慧轉化為引人注目的商業案例、高效的技術架構和創新的應用程式。
本書首先讓您了解人工智慧價值指南（AI Value Compass）——一個戰略框架，為您提供人工智慧實施的結構。接著深入探討以人工智慧為主導的創新，以及如何從組織中湧現的創意思潮中提取最有價值和最有趣的想法。本書還涉及人工智慧素養，幫助您指導團隊利用人工智慧解決最迫切的商業挑戰。
接下來，您將找到為您的人工智慧應用程式創建概念驗證（Proof of Concept, POC）的路線圖，確保在審查之前不會過時，展示如何快速高效地構建能夠提供價值的解決方案。隨著安雅博士的指導，旅程將從概念驗證轉向生產，教您如何為企業部署擴展生成式人工智慧應用程式。本書隨後探討治理、安全性和倫理——這些都是負責任和可持續實施人工智慧的關鍵方面。最後一章探討人工智慧的下一波浪潮，讓您了解人工智慧代理的時代。
本書通過提供一個綜合指南，結合實用建議、倫理考量和引人入勝的敘事，旨在為您提供成功實施能夠帶來真正商業價值的生成式人工智慧專案所需的知識和工具。
您將學到的內容：
- 如何識別和優先考慮有價值的生成式人工智慧使用案例，幫助組織創造價值之路
- 開發有效的概念驗證和過渡到全面生產的技術，包括企業準備的架構考量
- 在基於人工智慧的解決方案開發中的基本倫理考量及防止濫用的策略
- 選擇、微調和整合人工智慧模型，避免常見的陷阱
本書適合對象：
參與人工智慧產品開發和部署的專業人士，包括開發人員、架構師、專案經理、商業分析師和CXO。
作者簡介
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.
作者簡介(中文翻譯)
Jaydeep Chakrabarty 是一位多才多藝的技術領導者，擁有超過二十年的全端開發、基礎設施、體驗與視覺設計、專案管理、品質分析和安全性方面的經驗。他對開源專案充滿熱情，並為一些著名的倡議做出了貢獻，如 Talisman、OpenStack、Report-mine、Taiko 和 EEG 研究。他曾擔任 Thoughtworks 在印度和中東的 AI 及生成式 AI 負責人，目前是 Piramal Finance 的技術 AI 總監。他經常通過國家報紙分享他的見解，包括《印度教徒報》的科技專欄，以及其他知名的國內外出版物。他因其前瞻性的領導能力獲得多項獎項，包括亞洲領導獎、全球科技影響力人物（杜拜）和 2025 年最具影響力與前瞻性的人物獎。
Harinee Muralinath 是一位資深的技術與安全領導者，目前擔任 Thoughtworks 在印度和中東的商業資訊安全官（BISO）。在她的職業生涯中，她在軟體交付中扮演了多樣的角色，包括品質分析、開發和專案管理。她作為安全實踐負責人在 Thoughtworks 印度建立了安全實踐，並擔任能力負責人、能力主管和印度安全負責人，以及全球安全社群負責人。Harinee 對於在軟體交付中建立品質充滿熱情，認為這更多的是文化上的轉變而非技術上的轉變。她受到培養有機安全文化的迷戀驅動，倫理實踐、創新和開源貢獻是她不斷的動力。Harinee 獲得了企業女性獎和印度科技女性領導者的認可，並相信與社群共同成長。她經常通過國內外會議、發表見解和指導計畫分享她的知識，鼓勵年輕創新者和女性在科技領域的發展。
