The publishing industry is experiencing a revolution in its use of artificial intelligence (AI), particularly large language models (LLMs). LLMs are being used to improve efficiency, enhance content evaluation, facilitate collaborative writing, generate summaries, and enable advanced research capabilities. While AI is not intended to replace human roles, but rather augment them, it is transforming the way publishers work, enabling them to extract value from their vast amounts of text-based data. The integration of LLMs with traditional publishing workflows is also leading to a shift in roles, with data scientists becoming more active members of product teams and product management decisions. This trend has been demonstrated by companies such as Manz, which built an AI-powered recommendation system using deepset Cloud to speed up research workflows and reduce operational costs.