Generative AI for Business Innovation: A Practical Guide for Leadership to Realize Business Value with Generative AI
暫譯: 商業創新中的生成式人工智慧：領導者實現商業價值的實用指南

De, Brajesh

Generative AI for Business Innovation: A Practical Guide for Leadership to Realize Business Value with Generative AI
  • 出版商: Apress
  • 出版日期: 2026-07-01
  • 售價: $2,130
  • 貴賓價: 9.5 折 $2,023
  • 語言: 英文
  • 頁數: 342
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 9798868826818
  • ISBN-13: 9798868826818
  • 相關分類: GAN 生成對抗網絡

    • 海外代購書籍(需單獨結帳)

商品描述

This book is a comprehensive guide for business leaders, CXOs, and technical architects looking to adopt Generative AI technologies to create innovative applications for their organizations and clients.

The book is divided into three parts. In Part 1, readers will learn the fundamental concepts of Generative AI, such as foundational models and large language models like ChatGPT. It provides an overview of various Generative AI techniques, including Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs). This section helps leaders understand the benefits and risks associated with Generative AI, supported by industry case studies showcasing real-world applications. Part 2 focuses on developing a winning strategy for implementing Generative AI. It discusses choosing the right approach, building the necessary architecture and infrastructure, and ensuring data quality for training models. It also addresses technical challenges like computing power and offers best practices for execution. In Part 3, the book explores best practices for adopting Generative AI, emphasizing governance, talent development, and continuous improvement. It also discusses emerging trends and the societal impact of Generative AI, particularly concerning sustainability.

By the end, readers will be equipped with the knowledge and strategies to effectively harness Generative AI, paving the way for innovation in their organizations.

What you will learn:

  • What are the various Generative AI technologies - Foundational models, LLM, Auto encoders, GANs, VAEs, RAG, prompt engineering and more.
  • How to build a successful strategy for architecting and implementing Generative AI
  • Understand Preprocessing and setting up quality data for training generative AI models
  • What are the future trends in generative AI to build sustainable and trustworthy solutions

Who this book is for:

Individuals in leadership positions, such as CEOs, CTOs, CIOs, and other senior executives, who are responsible for driving innovation and strategy. decision-making in their organizations and interested in adopting Gen AI for that purpose. Professionals who design and implement technical solutions and infrastructure using Generative AI and machine learning systems.

商品描述(中文翻譯)

這本書是為商業領導者、CXO 和技術架構師提供的全面指南，旨在幫助他們採用生成式人工智慧（Generative AI）技術，為其組織和客戶創造創新應用。

本書分為三個部分。第一部分，讀者將學習生成式人工智慧的基本概念，例如基礎模型和大型語言模型（Large Language Models, LLM），如 ChatGPT。這部分提供了各種生成式人工智慧技術的概述，包括生成對抗網絡（Generative Adversarial Networks, GANs）和變分自編碼器（Variational Autoencoders, VAEs）。這一部分幫助領導者理解生成式人工智慧的好處和風險，並通過行業案例研究展示實際應用。第二部分專注於制定成功的生成式人工智慧實施策略。它討論了選擇正確的方法、建立必要的架構和基礎設施，以及確保訓練模型所需的數據質量。它還解決了計算能力等技術挑戰，並提供執行的最佳實踐。第三部分探討了採用生成式人工智慧的最佳實踐，強調治理、人才發展和持續改進。它還討論了新興趨勢和生成式人工智慧對社會的影響，特別是在可持續性方面。

到最後，讀者將具備有效利用生成式人工智慧的知識和策略，為其組織的創新鋪平道路。

你將學到的內容：
- 各種生成式人工智慧技術 - 基礎模型、LLM、自編碼器、GANs、VAEs、RAG、提示工程等。
- 如何建立成功的生成式人工智慧架構和實施策略
- 理解預處理和設置質量數據以訓練生成式人工智慧模型
- 生成式人工智慧的未來趨勢，以建立可持續和可信的解決方案

本書的讀者對象：
擔任領導職位的個人，如 CEO、CTO、CIO 和其他高級管理人員，負責推動創新和策略決策，並有興趣為此目的採用生成式人工智慧。設計和實施使用生成式人工智慧和機器學習系統的技術解決方案和基礎設施的專業人士。

作者簡介

Brajesh De is tech visionary and CTO-level executive with over 25 years of global experience shaping how enterprises design, scale, and govern digital platforms in an AI-driven world. As Managing Director at Blue Altair, he leads global capabilities for Artificial Intelligence, Cloud Native Application Development, and API Management & Integration--helping organizations transform their dream experiments to reality and derive measurable value using Generative AI.

Over the course of his career, Brajesh has successfully led several large-scale digital transformation programs for fortune 500 organizations, spanning strategy, architecture and execution. He has witnessed firsthand both the promise of Generative AI and the practical challenges of scaling it responsibly and reliably across data, platforms, security, and organizational readiness. As a trusted advisor to boards, CIOs/CTOs, he influences strategic technology investments, modernization roadmaps, and long-term AI-enabled digital transformation agendas.

A recognized industry thought leader, Brajesh is a published author, conference speaker, and builder of GCCs and CoEs. He holds patents in API assessment and data veracity across four countries, reflecting his long-standing focus on building trustworthy and scalable digital systems.

Brajesh received his bachelor's degree in Electrical Engineering from IIT-BHU Varanasi and was the recipient of multiple university gold medals during his tenure.

作者簡介(中文翻譯)

Brajesh De 是一位技術願景家及首席技術官級別的高管，擁有超過 25 年的全球經驗，塑造企業在人工智慧驅動的世界中設計、擴展和治理數位平台的方式。作為 Blue Altair 的董事總經理，他負責全球人工智慧、雲原生應用開發以及 API 管理與整合的能力，幫助組織將夢想實驗轉化為現實，並利用生成式 AI 獲得可衡量的價值。

在他的職業生涯中，Brajesh 成功領導了多個大型數位轉型計畫，涵蓋了財富 500 強企業的策略、架構和執行。他親眼目睹了生成式 AI 的潛力以及在數據、平台、安全性和組織準備方面負責任且可靠地擴展的實際挑戰。作為董事會、CIO/CTO 的可信顧問，他影響著戰略技術投資、現代化路線圖和長期的 AI 驅動數位轉型議程。

作為公認的行業思想領袖，Brajesh 是一位已出版的作者、會議演講者，以及 GCC 和 CoE 的建設者。他在四個國家擁有 API 評估和數據真實性的專利，反映了他長期以來專注於建立可信且可擴展的數位系統。

Brajesh 在 IIT-BHU 瓦拉納西獲得電機工程學士學位，並在任內獲得多項大學金獎。

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