The Leadership Algorithm (Paperback)
Idioma: inglés
Editorial: APress, Berkley, 2026
- Tapa blanda
- Nuevo
Librería: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller
Vendedor de IberLibro desde 22 de junio de 2007
Condición: Nuevo
EUR 72,75
Cantidad disponible: 1 disponible
Añadir al carritoDescripción del artículo del vendedor
Paperback. In a world flooded with data but starved for insight, this book gives data leaders the blueprint theyve 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 datarich enterprises can fall victim to the data illusion and how leaders can break the cycle.More than theory, this is a handson guide that shows you how to design highimpact 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, youll 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, youll learn to leverage it as a catalyst for innovation and scale.Whether youre 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 LearnHow to prepare your organization for emerging technologies like agentic AIHow to design high-impact teams and structuresHow to build a data-driven culture mso-fareast-language: EN-IN;">Whether youre 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. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…
N° de ref. del artículo 9798868828966
- Título
- The Leadership Algorithm (Paperback)
- Autor
- Shrey Shivam
- Editorial
- APress, Berkley
- Año de publicación
- 2026
- Estado
- new
- Encuadernación
- Paperback
- Idioma
- inglés
- ISBN 13
- 9798868828966
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
“Sinopsis” puede pertenecer a otra edición de este título.
Acerca del autor
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.
“Acerca de” puede pertenecer a otra edición de este título.
AussieBookSeller
Truganina, VIC, Australia
Vendedor de IberLibro desde 22 de junio de 2007
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|---|---|---|
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