Leadership Algorithm

What It Takes to Lead in the Age of Data, AI, and Intelligent Systems

Häftad, Engelska, 2026

423 kr

Kommande

Beskrivning

The book is a comprehensive guide for Chief Data Officers (CDOs), Chief Data and AI Officers (CDAOs), and data leaders at all levels who seek to drive meaningful business transformation through data and AI. This book addresses the unique challenges and opportunities that come with leading in the rapidly evolving field of data, offering practical strategies, real-world examples, and storytelling to guide leaders on their journey.At its core, the book explores the paradox of data leadership: while companies are inundated with data, many struggle to derive actionable insights or measurable value from it. The book dissects this disconnect by examining the organizational, cultural, and strategic hurdles that data leaders face, while offering a roadmap for overcoming them.What You Will LearnStrategic Thinking for Data MonetizationHow to design high-impact teams and structuresHow to build a data-driven cultureWho This Book is ForThe primary audience for this book consists of data managers, leaders, and Chief Data Officers (CDOs) who are tasked with defining and executing data and AI strategies within their organizations.

Produktinformation

Utgivningsdatum:2026-11-09
Mått:155 x 235 x undefined mm
Format:Häftad
Språk:Engelska
Förlag:APress
ISBN:9798868828966

Utforska kategorier

Affärsstrategi inom Ekonomi och Ledarskap
Databaser inom Data och IT
Systemvetenskap och AI inom Data och IT

Mer om författaren

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.

Innehållsförteckning

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.