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Data & AI Imperative

Designing Strategies for Exponential Growth de

Éditeur :

Wiley


Paru le : 2024-12-03

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Description

Unlock predictable bottom line growth through tailored data and AI strategies.
In The Data & AI Imperative: Designing Strategies for Exponential Growth, celebrated data-driven growth leader, Lillian Pierson, delivers a masterclass in developing custom strategies to harness the full potential of data and AI within your organization. This book offers a clear, actionable roadmap for leveraging your company's data and technology assets to drive significant, reliable growth.
With over two decades of experience, Pierson unveils her proprietary STAR framework through which you'll learn to survey, take stock of, and assess your company's current state. Finally, you'll be guided on how to recommend strategies that drive growth via the execution of optimally positioned data- and AI- intensive projects or products that directly improve your business bottom line. From conception to execution, learn to: Identify high-impact opportunities for data or AI interventions within your business. Assess your organization's readiness and data literacy to ensure successful outcomes. Implement practical, effective tactics for overseeing your data-intensive projects, from strategic plans to profitable realities. Develop and deploy AI and data strategies that exceed your business goals.
While ideal for executives, managers, and other leaders of data- or AI-intensive companies, The Data & AI Imperative is also invaluable to data and technical professionals who aspire to elevate their impact by turning technical expertise into strategic leadership success.
Pages
352 pages
Collection
n.c
Parution
2024-12-03
Marque
Wiley
EAN papier
9781394251957
EAN PDF
9781394251971
Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
352
Taille du fichier
7025 Ko
Prix
31,65 €
EAN EPUB
9781394251964
Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
352
Taille du fichier
6410 Ko
Prix
31,65 €

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