The Leadership Algorithm: What It Takes to Lead in the Age of Data, Ai, and Intelligent Systems
暫譯: 領導算法：在數據、人工智慧與智能系統時代的領導要素

Shivam, Shrey

The Leadership Algorithm: What It Takes to Lead in the Age of Data, Ai, and Intelligent Systems
  • 出版商: Apress
  • 出版日期: 2026-08-25
  • 售價: $1,530
  • 貴賓價: 9.5 折 $1,453
  • 語言: 英文
  • 頁數: 357
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 9798868828966
  • ISBN-13: 9798868828966
  • 相關分類: 管理與領導 Management-leadership

    • 海外代購書籍(需單獨結帳)

商品描述

In a world flooded with data but starved for insight, this book gives data leaders the blueprint they've been missing. Written for CDOs, CDAOs, and rising data executives, it demystifies why so many organizations fail to realize value from their data investments and offers a practical, actionable path to turn data and AI into engines of real business transformation.

Navigating the paradox of modern data leadership, the book exposes the structural, cultural, and strategic blind spots that hold companies back. It reveals how even the most data-rich enterprises can fall victim to the "data illusion" and how leaders can break the cycle.

More than theory, this is a hands-on guide that shows you how to design high-impact data organizations, build a culture that embraces insight-driven decisions, and align data strategy with long-term business goals. From data products to agentic AI, you'll get the clarity, frameworks, and language needed to influence stakeholders and lead confidently in an era of rapid technological change.

The book also takes an unflinching look at ethical AI, offering lessons from missteps and practical approaches to rebuild trust through transparency and responsible governance. Rather than treating governance as a barrier, you'll learn to leverage it as a catalyst for innovation and scale.

Whether you're steering an enterprise data function or stepping into a leadership role for the first time, this book equips you with the strategic mindset and the organizational roadmap to build the intelligent organizations of tomorrow.

What You Will Learn

How to prepare your organization for emerging technologies like agentic AI

How to design high-impact teams and structures

How to build a data-driven culture

商品描述(中文翻譯)

在一個充斥著數據卻缺乏洞察的世界中，本書為數據領導者提供了他們一直缺失的藍圖。這本書是為首席數據官（CDO）、首席數據分析官（CDAO）及新興的數據高管所寫，揭示了為何如此多的組織未能從其數據投資中實現價值，並提供了一條實用且可行的路徑，將數據和人工智慧（AI）轉變為真正的商業轉型引擎。

在現代數據領導的矛盾中，本書揭示了阻礙公司發展的結構性、文化性和戰略性盲點。它顯示了即使是數據最豐富的企業也可能成為「數據幻覺」的受害者，以及領導者如何打破這一循環。

這不僅僅是理論，而是一本實用指南，教你如何設計高影響力的數據組織，建立一種擁抱洞察驅動決策的文化，並將數據戰略與長期商業目標對齊。從數據產品到自主型人工智慧（agentic AI），你將獲得影響利益相關者所需的清晰度、框架和語言，並在快速技術變革的時代中自信地領導。

本書還毫不妥協地探討了倫理人工智慧，提供了從失誤中學到的教訓和通過透明度及負責任治理重建信任的實用方法。你將學會如何將治理視為創新和擴展的催化劑，而不是障礙。

無論你是在引導企業數據功能，還是首次踏入領導角色，本書都將為你提供建立明智組織所需的戰略思維和組織藍圖。

你將學到什麼

如何為你的組織準備新興技術，如自主型人工智慧（agentic AI）

如何設計高影響力的團隊和結構

如何建立數據驅動的文化

作者簡介

Shrey Shivam is a Senior Director at Fiserv, based in Ireland, and he is currently head the data, analytics and AI function for EMEA. In his current role, he drives data strategy and leads the modernization of the data landscape to enable Fiserv to harness advanced analytics and AI capabilities to further disrupt the payment processing ecosystem.

As a data product and data technology leader, Shrey works with the executive leadership of Fiserv to promote the organization to build direct and indirect monetization capabilities using data. With relevant exposure of various domains such as digital media, e-commerce, B2C startups, investment banking, insurance, fintech and fortune 50 companies, he has acquired a wealth of a high-level expertise for the modern technological landscape in leading solutions around Big Data, Machine Learning, Enterprise BI, content discovery based information retrieval systems, Recommendation Engines, Graph Databases and Natural language processing based platforms such as context based chatbots, semantic web and structured search. In his previous role he was responsible for leading the architecture, design, development and delivery of various statistical and predictive modeling use cases focusing on customer experience, fraud, underwriting, leads management and NLP based cognitive data discovery by functionally managing a specialized team of data scientists, ML & Data engineers across US, Ireland and India.

作者簡介(中文翻譯)

Shrey Shivam 是 Fiserv 的高級總監，駐於愛爾蘭，目前負責 EMEA 的數據、分析和人工智慧功能。在他目前的角色中，他推動數據策略並領導數據環境的現代化，使 Fiserv 能夠利用先進的分析和人工智慧能力，進一步顛覆支付處理生態系統。

作為數據產品和數據技術的領導者，Shrey 與 Fiserv 的高層領導團隊合作，促進組織建立使用數據的直接和間接貨幣化能力。擁有數位媒體、電子商務、B2C 初創公司、投資銀行、保險、金融科技及《財富》50 強公司等多個領域的相關經驗，他在現代技術環境中獲得了豐富的高層專業知識，專注於大數據、機器學習、企業商業智慧、基於內容發現的信息檢索系統、推薦引擎、圖形數據庫以及基於自然語言處理的平台，如基於上下文的聊天機器人、語義網和結構化搜索。在他之前的角色中，他負責領導各種統計和預測建模用例的架構、設計、開發和交付，重點關注客戶體驗、詐騙、承保、潛在客戶管理和基於 NLP 的認知數據發現，並通過功能性管理一支專業的數據科學家、機器學習和數據工程師團隊，遍及美國、愛爾蘭和印度。

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