Lillian Pierson

Data & AI Imperative (eBook, ePUB)

Designing Strategies for Exponential Growth

• Format: ePub

Produktbeschreibung

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.

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Produktdetails

• Verlag: John Wiley & Sons
• Seitenzahl: 513
• Erscheinungstermin: 3. Dezember 2024
• Englisch
• ISBN-13: 9781394251964
• Artikelnr.: 72527094

Autorenporträt

Lillian Pierson, P.E., is an industry-renowned data- and AI-driven growth strategist, advisor and fractional CMO for B2B technology companies. She's also a licensed professional engineer who's supported the expansion of 10% of the Fortune 100 whilst educating over 2 million learners on topics of data strategy, data science, AI, and growth marketing.

Inhaltsangabe

Acknowledgments ix
About the Author xi
Introduction xiii
Part I The Data & AI Advantage in Modern Business 1
Chapter 1 Leveling the Playing Field with Data and AI 3
Chapter 2 Introduction to Data Strategy 17
Chapter 3 Types of Data-Intensive Use Cases Based on Business Objectives 32
Chapter 4 Data- and AI-Driven Product-Led Growth 49
Chapter 5 Amplifying Growth Marketing Outcomes with Data and AI 66
Chapter 6 Validating Product-Market Fit for Commercial Data and AI Products
and Services 83
Part II The Data & AI Trifecta: Ethical Considerations, Deployment Tactics,
and Competitive Analysis 105
Chapter 7 Complying with Regulatory and Ethical Standards 107
Chapter 8 Practical Tactics for Successful AI Deployments 121
Part III The Technical Foundation for Growth 139
Chapter 9 Surveying Your Industry and Organization 141
Chapter 10 Perform a Technical Assessment 160
Chapter 11 Stakeholder Engagement and Data Literacy 176
Chapter 12 Assessing Your Current State Organization 193
Chapter 13 Assessing Your Current State AI Ethics and Data Privacy 215
Part IV Formulating and Implementing an AI Strategy 235
Chapter 14 Selecting and Scoping a Winning Use Case 237
Chapter 15 Evaluating All Relevant Resources 249
Chapter 16 Data Strategy Recommendations for Reaching Future State Goals
277
Chapter 17 Finalizing Your Strategic Plan 299
Index 320