Overview
Production has always been the engine room of scholarly publishing where manuscripts become discoverable, accessible research outputs. Today, we're at an inflection point. Machine learning is being integrated into production workflows to simultaneously generate PDF, HTML, and XML article files. And automation is fundamentally changing how we think about efficiency, quality, and scale.
But what does this mean practically for publishers managing real journals with real constraints? How do you balance automation with quality control? Where should human expertise remain central? And how can smaller publishers access these technologies without enterprise budgets?
This webinar will be a panel discussion where representatives from across the production ecosystem will explore the answers to these questions.
