The Leadership Algorithm : What It Takes to Lead in the Age of Data, AI, and Intelligent Systems / by Shrey Shivam.

Format:

Book

Author/Creator:

Shivam, Shrey.

Series:

Professional and Applied Computing Series

Language:

English

Subjects (All):

Data mining.

Artificial intelligence--Data processing.

Artificial intelligence.

Big data.

Strategic planning.

Leadership.

Management.

Data Mining and Knowledge Discovery.

Data Science.

Big Data.

Business Strategy and Leadership.

Local Subjects:

Data Mining and Knowledge Discovery.

Data Science.

Big Data.

Business Strategy and Leadership.

Management.

Physical Description:

1 online resource (264 pages)

Edition:

1st ed. 2026.

Place of Publication:

Berkeley, CA : Apress : Imprint: Apress, 2026.

Summary:

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.

Contents:

Chapter 1: The Data Dreamer and the AI Doomsayers

Chapter 2: The Conveyor Belt Problem

Chapter 3: The Architect’s Blueprint

Chapter 4: The Culture Conundrum

Chapter 5: The Tale of Two Strategies

Chapter 6: The Insight Factory

Chapter 7: Breaking the Monetization Maze

Chapter 8: From Data Governance to Data Enablement

Chapter 9: Data-Centric AI: A Paradigm Shift

Chapter 10: Data Ethics and the Phoenix Effect

Chapter 11: The Virtuous Cycle

Chapter 12: The Future of Data and AI Leadership.

Notes:

Description based upon print version of record.

Print version record.

ISBN:

9798868828973

OCLC:

1613770930