Название: Data & AI Imperative: Designing Strategies for Exponential Growth
Автор: Lillian Pierson
Издательство: Wiley
Год: 2025
Страниц: 352
Язык: английский
Формат: True/Retail EPUB
Размер: 10.1 MB

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.

This book covers data landscape analysis, use case identification, planning and strategy development, implementation oversight, and evaluation and scaling of data initiatives. It focuses on applying pre-trained generative AI models rather than developing custom LLMs, which are costly and complex. Using a tested framework, the book guides you in aligning data resources with business objectives, selecting impactful use cases, crafting effective strategies, and ensuring successful execution and scaling of AI initiatives.

With respect to AI strategy development, this book specifically focuses on the application of pre-trained generative AI models, not on building bespoke LLMs from scratch. Developing custom LLMs is complicated, novel, and very expensive. It’s also risky. Take, for example, BloombergGPT; a custom LLM that Bloomberg developed. It was trained on its own in-house proprietary financial data. The project required significant investment, to the tune of tens of millions of dollars, and yet recent studies at the Department of Electrical and Computer Engineering & Ingenuity Labs Research Institute Queen’s University indicate that both ChatGPT and GPT-4 performed better than BloombergGPT on financial natural language processing tasks.

The AI strategy-building guidance I provide within the pages of this book supports you in leveraging more accessible and versatile pre-trained generative AI models. It provides you with practical insight into the current landscape of generative AI, without digging into the complexities involved in the custom development of generative AI models themselves.

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.