Driving Business Transformation with Modern Data and AI Strategies: A Leader's Guide to Turning Data and AI Into Business Value
暫譯: 以現代數據和人工智慧策略推動商業轉型：領導者將數據和人工智慧轉化為商業價值的指南

Yasir, Rahat, Shaikh, Kasam

Driving Business Transformation with Modern Data and AI Strategies: A Leader's Guide to Turning Data and AI Into Business Value
  • 出版商: Apress
  • 出版日期: 2026-05-05
  • 售價: $2,060
  • 貴賓價: 9.5 折 $1,957
  • 語言: 英文
  • 頁數: 307
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 9798868826245
  • ISBN-13: 9798868826245
  • 相關分類: Data-visualization、Machine Learning

    • 海外代購書籍(需單獨結帳)

商品描述

In today's digital-first world, data is no longer merely a technical asset; it has become a strategic superpower. Driving Business Transformation with Modern Data and AI Strategies is a practical guide for forward-thinking leaders who want to make informed, confident decisions powered by data, analytics, and artificial intelligence. The book demystifies complex technologies and explains how to align data and AI initiatives with tangible business outcomes.

Organisations that embrace data-driven decision-making consistently outperform their peers--innovating faster, understanding customers more deeply, and unlocking sustainable competitive advantage. This book is intended for both technical and non-technical leaders, from C-suite executives to transformation and domain leaders, who recognise that data and AI are no longer the exclusive domain of technologists. Success in the modern enterprise increasingly depends on leaders who combine domain expertise with data literacy and AI fluency.

The book is structured across four parts, beginning with an overview of the data-driven business landscape and the shift from legacy systems to modern cloud platforms, highlighting the role of leadership in shaping data strategy and delivering measurable ROI. It then introduces an advanced analytics maturity model, guiding readers from descriptive to prescriptive insights while exploring business intelligence, data storytelling, and embedding analytics into everyday decision-making. The third part focuses on AI in action, covering practical applications of traditional machine learning, generative AI, and AI agents, alongside responsible AI frameworks, team design, and future-ready strategies supported by real-world use cases. The final section addresses strategy, culture, and execution, emphasising how organisations can build a data-first culture, align cross-functional teams, and future-proof their data and AI capabilities.

What You Will Learn:

    How to unlock business value through efficiency, insight, and innovation Strategies for democratising data, analytics, and AI across your organisation Core concepts in data analytics and AI, and their business use cases How to design a modern, cloud-native data platform How to identify and implement AI and GenAI use cases

Who This Book Is For:

Digital transformation and data strategy leaders. It is also targeted to Board level executives and Non-technical managers in tech-driven industries.

商品描述(中文翻譯)

在當今以數位為先的世界中，數據不再僅僅是一項技術資產；它已成為一種戰略超能力。《利用現代數據和人工智慧策略推動業務轉型》是一本實用指南，專為那些希望利用數據、分析和人工智慧做出明智且自信決策的前瞻性領導者而設。這本書揭開了複雜技術的神秘面紗，並解釋了如何將數據和人工智慧的倡議與具體的業務成果對齊。

擁抱數據驅動決策的組織始終表現優於同行——創新速度更快，更深入地理解客戶，並解鎖可持續的競爭優勢。本書適合技術和非技術領導者，包括C級高管、轉型和領域領導者，他們認識到數據和人工智慧不再是技術專家的專屬領域。在現代企業中，成功越來越依賴於能夠將領域專業知識與數據素養和人工智慧流利度相結合的領導者。

本書分為四個部分，首先概述了數據驅動的商業環境以及從舊系統到現代雲平台的轉變，強調領導在塑造數據策略和實現可衡量的投資回報率中的角色。接著介紹了一個先進的分析成熟度模型，指導讀者從描述性洞察到規範性洞察，同時探索商業智慧、數據故事講述以及將分析嵌入日常決策中。第三部分專注於人工智慧的實踐，涵蓋傳統機器學習、生成式人工智慧和人工智慧代理的實際應用，以及負責任的人工智慧框架、團隊設計和未來準備策略，並以真實案例支持。最後一部分探討策略、文化和執行，強調組織如何建立以數據為先的文化、對齊跨功能團隊，並未來證明其數據和人工智慧能力。

您將學到的內容：


  • 如何通過效率、洞察和創新來釋放商業價值

  • 在組織內部民主化數據、分析和人工智慧的策略

  • 數據分析和人工智慧的核心概念及其商業用例

  • 如何設計現代的雲原生數據平台

  • 如何識別和實施人工智慧和生成式人工智慧的用例

本書適合誰閱讀：

數位轉型和數據策略領導者。本書也針對董事會高層和技術驅動行業中的非技術經理。

作者簡介

Rahat Yasir was named one of Canada's Top 30 Software Developers Under 30 in 2018 and is a twelve-time Microsoft Most Valuable Professional in Artificial Intelligence. He holds a bachelor's degree in computer science and engineering, a master's degree in computer science with a specialisation in Artificial Intelligence, and has completed multiple executive education programmes focused on enterprise data, AI policy, strategy, and leadership.

He brings extensive experience across artificial intelligence, cloud, data analytics, cross-platform system development, and large-scale enterprise systems. Rahat authored the first eBooks on Windows Phone 8.1 and Universal Windows Platform development and has held a range of senior technical and research roles, including AI Researcher at the University of Saskatchewan's P2IRC, Lead AI Developer at Immersive Design Studios, and AI Engineer at Intact Financial Corporation. He has also led AI initiatives at OSEDEA, CAE, and ISAAC Instruments.

Currently, Rahat serves as Head of Data Insights & Advanced Analytics at IATA, where he leads global data, analytics, and AI initiatives supporting aviation safety and security use cases. In 2025, he was recognised with the AI100 Early Adopters in North America award. His work has also been honoured with the DataIQ Data & AI for Good Hero Organisation Award and the Grand Prix Award at DataIQ North America 2025.

Kasam Shaikh is a four-time recipient of the prestigious Microsoft Most Valuable Professional (MVP) Award in AI--and the first and only Indian professional under the age of 40 to earn this honor consecutively for three years. A recognized global AI speaker, published author, and tech influencer, Kasam is widely known for his contributions to the AI ecosystem through his YouTube channel, mentoring initiatives, and thought leadership. He currently serves as a Cloud Solutions and Generative AI Architect at the Associate Director level, driving digital transformation and AI adoption across business units. As the founder of Dear Azure - Az-INDIA, the largest Azure AI community in the region, he plays a key role in nurturing AI talent and fostering innovation. Additionally, he is acknowledged as a Career Expert in AI by RediffGuru and leads the Gen AI Expert Community at the practice level within his organization.

作者簡介(中文翻譯)

拉哈特·雅西爾於2018年被評選為加拿大30位30歲以下頂尖軟體開發者之一，並且是十二次獲得微軟人工智慧最有價值專家（Microsoft Most Valuable Professional, MVP）稱號的專家。他擁有計算機科學與工程的學士學位、專注於人工智慧的計算機科學碩士學位，並完成多個專注於企業數據、人工智慧政策、策略和領導力的高管教育課程。

他在人工智慧、雲端、數據分析、跨平台系統開發和大型企業系統方面擁有豐富的經驗。拉哈特撰寫了關於Windows Phone 8.1和通用Windows平台開發的第一本電子書，並擔任過多個高級技術和研究職位，包括薩斯喀徹溫大學P2IRC的人工智慧研究員、沉浸式設計工作室的首席人工智慧開發者，以及安達金融公司的人工智慧工程師。他還在OSEDEA、CAE和ISAAC Instruments領導過人工智慧計畫。

目前，拉哈特擔任國際航空運輸協會（IATA）數據洞察與高級分析部門負責人，領導全球數據、分析和人工智慧計畫，以支持航空安全和安保的應用案例。在2025年，他獲得了北美AI100早期採用者獎項。他的工作也獲得了DataIQ數據與人工智慧公益英雄組織獎和2025年DataIQ北美大獎的榮譽。

卡薩姆·沙伊克是四次獲得微軟人工智慧最有價值專家（MVP）獎的得主，也是第一位連續三年獲得此榮譽的40歲以下印度專業人士。作為全球知名的人工智慧演講者、出版作者和科技影響者，卡薩姆因其在人工智慧生態系統中的貢獻而廣為人知，這些貢獻包括他的YouTube頻道、導師計畫和思想領導力。他目前擔任雲端解決方案和生成式人工智慧架構師，推動業務單位的數位轉型和人工智慧採用。作為Dear Azure - Az-INDIA的創始人，該社群是該地區最大的Azure AI社群，他在培養人工智慧人才和促進創新方面發揮了關鍵作用。此外，他被RediffGuru認可為人工智慧職業專家，並在其組織內部領導生成式人工智慧專家社群。

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