Data as the Fourth Pillar: An Executive Guide for Scaling AI
暫譯: 數據作為第四支柱:AI 擴展的高層指導手冊

Dutta, Sujay, Rajagopal, Siddharth

  • 出版商: CRC
  • 出版日期: 2025-08-29
  • 售價: $5,720
  • 貴賓價: 9.5$5,434
  • 語言: 英文
  • 頁數: 206
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 1032844604
  • ISBN-13: 9781032844602
  • 相關分類: 商業管理類
  • 海外代購書籍(需單獨結帳)

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商品描述

Data as the Fourth Pillar reasons that data should be considered the Fourth Pillar of every enterprise, alongside people, processes, and technology. Aimed at Boards, CEOs, and CxOs, it provides a compelling case for why and how they should treat data as a strategic asset. It presents a comprehensive, success-by-design approach for enterprises, guiding them through a Maturity Framework to accelerate their data-centric journey.

This book addresses the "Why," the "What," and the "How" of achieving this goal in measurable terms. It introduces key performance indicators (KPIs) such as Total Addressable Value (TAV) and Expected Addressable Value through data (EAV) to help measure the impact provided by the data pillar. The book also explores the symbiotic relationship between AI and data, illustrating how both enable and benefit from each other. A case study by Rüdiger Eck from Audi AG provides practical insights into the concepts and frameworks discussed.

This book is an essential resource for business executives in both SMBs and large enterprises, helping them navigate a highly complex and hyper-competitive business landscape while accelerating business value for their stakeholder communities.

商品描述(中文翻譯)

數據作為第四支柱認為數據應被視為每個企業的第四支柱,與人員、流程和技術並列。這本書針對董事會、首席執行官和高層管理人員,提供了一個有說服力的案例,說明為什麼以及如何將數據視為戰略資產。它提出了一個全面的、以成功為設計的企業方法,通過成熟度框架指導企業加速其以數據為中心的旅程。

本書探討了實現這一目標的「為什麼」、「什麼」和「如何」,並以可衡量的方式進行說明。它介紹了關鍵績效指標(KPIs),如總可尋址價值(Total Addressable Value, TAV)和通過數據的預期可尋址價值(Expected Addressable Value, EAV),以幫助衡量數據支柱所帶來的影響。本書還探討了人工智慧(AI)與數據之間的共生關係,說明了兩者如何相互促進和受益。來自Audi AG的Rüdiger Eck的案例研究提供了對所討論概念和框架的實用見解。

本書是中小企業和大型企業商業高管的重要資源,幫助他們在高度複雜和超競爭的商業環境中導航,同時加速為其利益相關者社群創造商業價值。

作者簡介

Sujay Dutta is a seasoned technology and business leader with 25+ years of global experience. He believes the future is being shaped at the intersection of AI, Business outcomes, Culture, and Data ("A.B.C.D."). He is passionate about helping organizations leverage data and AI at scale, to accelerate business impact. Throughout his career, Sujay has worked with top technology innovators such as Databricks, Informatica, and SAP, as well as leading IT services firms including Capgemini, Harman Connected Services, HCL Technologies, and Tata Consultancy Services. Having lived and worked across India, the USA, and Europe, Sujay brings a global perspective and expertise that spans Data and AI strategy and execution, making him a trusted advisor to C-suite executives and business leaders worldwide.

Siddharth (Sidd) Rajagopal is a Chief Architect in the Field CTO Organization at Informatica. In his role, he engages with senior executives at enterprise providing thought leadership around data and data management by sharing his insights and learnings. Prior to this, he worked as a Consultant and Architect in various large data management programs at Cognizant and Accenture. He lives in the Netherlands with his family.

作者簡介(中文翻譯)

Sujay Dutta 是一位擁有超過 25 年全球經驗的資深技術與商業領導者。他相信未來正是在人工智慧(AI)、商業成果、文化與數據('A.B.C.D.')的交匯處形成的。他熱衷於幫助組織大規模利用數據和人工智慧,以加速商業影響。在他的職業生涯中,Sujay 曾與頂尖技術創新者如 Databricks、Informatica 和 SAP 以及領先的 IT 服務公司如 Capgemini、Harman Connected Services、HCL Technologies 和 Tata Consultancy Services 合作。Sujay 在印度、美國和歐洲生活和工作過,帶來了全球視野和專業知識,涵蓋數據和人工智慧的策略與執行,使他成為全球 C-suite 高管和商業領導者值得信賴的顧問。

Siddharth (Sidd) Rajagopal 是 Informatica 的 Field CTO 組織中的首席架構師。在他的角色中,他與企業的高級主管互動,提供有關數據和數據管理的思想領導,分享他的見解和學習。在此之前,他曾在 Cognizant 和 Accenture 的各種大型數據管理計劃中擔任顧問和架構師。他與家人居住在荷蘭。