Data & AI Imperative
John Wiley & Sons Inc (Verlag)
978-1-394-25195-7 (ISBN)
- Noch nicht erschienen (ca. Januar 2025)
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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.
Contents
Part I: The Data & AI Advantage in Modern Business
Chapter 1: Leveling the Playing Field with Data and AI
Chapter 2: Introduction to Data Strategy
Chapter 3: Types of Data-Intensive Use Cases Based on Business Objectives
Chapter 4: Data- and AI-Driven Product-Led Growth
Chapter 5: Amplifying Growth Marketing Outcomes with Data and AI
Chapter 6: Validating Product-Market Fit for Commercial Data and AI Products and Services
Part II: The Data & AI Trifecta: Ethical Considerations, Deployment Tactics, and Competitive Analysis
Chapter 7: Complying with Regulatory and Ethical Standards
Chapter 8: Practical Tactics for Successful AI Deployments
Part III: The Technical Foundation for Growth
Chapter 9: Surveying Your Industry and Organization
Chapter 10: Perform a Technical Assessment
Chapter 11: Stakeholder Engagement and Data Literacy
Chapter 12: Assessing Your Current State Organization
Chapter 13: Assessing Your Current State AI Ethics and Data Privacy
Part IV: Formulating and Implementing an AI Strategy
Chapter 14: Selecting and Scoping a Winning Use Case
Chapter 15: Evaluating All Relevant Resources
Chapter 16: Data Strategy Recommendations for Reaching Future-State Goals
Chapter 17: Finalizing Your Strategic Plan
| Erscheint lt. Verlag | 28.1.2025 |
|---|---|
| Verlagsort | New York |
| Sprache | englisch |
| Themenwelt | Informatik ► Datenbanken ► Data Warehouse / Data Mining |
| Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
| ISBN-10 | 1-394-25195-5 / 1394251955 |
| ISBN-13 | 978-1-394-25195-7 / 9781394251957 |
| Zustand | Neuware |
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