"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"--
Read More
"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"--
Read Less