The Case for Separating Workflow Logic from Content Logic
Mario Kandler explains why a modular approach to content and workflow logic is essential for scaling technical documentation in the age of AI.
Getting Your Structured Content RAG-Ready Before the AI Gets There
We are currently hitting the 20-year milestone for DITA. For many of us who have lived through the migrations and ...
Why User-Editable BPMN Workflows Matter More Than Vendor-Controlled Automation
In the rush to integrate Large Language Models (LLMs) into technical writing, many organizations are making a fundamental architectural mistake: ...
The Inheritance of Structure
We live, all of us, with the things we’ve built—whether we remember building them or not. For decades, publishers ...
The Process Is the Product
You’re in the office. Someone’s talking about AI again. They say it worked. “We ran a proof-of-concept,” they say. ...
A Supposedly Intelligent Thing I’ll Let AI Do Again
Let’s start with a positive outcome. A publisher, a reputable one with big journals, peer review pipelines, and all ...
SSP 2024 Poster Contest – Piloting Your Process
Piloting Your Process: Efficient Academic Publishing with BPMN Each year, the Society for Scholarly Publishing (SSP) Annual General Meeting ...
Enhancing Data Integration and Management The Power of Data Hub
Enhancing Data Integration and Management: The Power of Data Hub in MarkLogic In the ever-evolving digital landscape, managing diverse ...
The Role of Generative AI in Traditional Publishing A Skeptic’s Perspective
The Role of Generative AI in Traditional Publishing: A Skeptic’s Perspective In the rapidly evolving world of publishing, the rise ...
Navigating the World of E-Learning Localization Challenges and Strategies
Navigating the World of E-Learning Localization: Challenges and Strategies In the vast and varied landscape of global e-learning, content that ...