- Добавил: literator
- Дата: 7-12-2024, 05:04
- Комментариев: 0
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. 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.
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. 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.