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.
By:
Lillian Pierson (Data-Mania)
Imprint: John Wiley & Sons Inc
Country of Publication: United States
Dimensions:
Height: 231mm,
Width: 185mm,
Spine: 20mm
Weight: 499g
ISBN: 9781394251957
ISBN 10: 1394251955
Pages: 352
Publication Date: 12 February 2025
Audience:
General/trade
,
ELT Advanced
Format: Paperback
Publisher's Status: Active
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
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.
