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Harmonizer is a powerful tool created by Data Conversion Laboratory that analyzes large document collections to identify content reuse across multiple content sets and source formats. Understanding the volume and nature of duplication in content is invaluable to effectively implement a reuse-based content model like DITA or S1000D. Harmonizer dives deeper into content analysis and can evaluate, identify, and report not only on duplication at the paragraph level but also duplication within specific XML elements such as topics, tasks, concepts, etc. Flexibility in the level of comparison is particularly useful for performing periodic health checks on structured content to diagnose reuse issues or other issues that can arise after DITA or S1000D conversion.
This webinar will demonstrate Harmonizer’s role in performing a health check and speak to use cases that are important for any organization who has invested in DITA or S1000D. Christopher Hill, product manager for Harmonizer and structured content expert, will also detail new licensing models for the software that enable self-serve content health checkups that improve documentation workflows and ensure your investment in markup continues to return healthy results.
Presented by:Presented by Fabrice Lacroix
For years, the focus of our content strategy has been on crafting messaging for human audiences, leveraging personas, controlled vocabulary, and tone. However, with the rise of Artificial Intelligence (AI) as a new audience, our approach must evolve. How does this shift impact our writing, and how can we create content that resonates with humans while effectively training AI systems? Can the same content achieve both goals and does it hinge on our AI usage intentions? Join Leigh White in this thought-provoking webinar as she delves into the necessary considerations for how we must rethink our approach if we want to use our content to teach the machines to teach us.
Presented by: Leigh White, MadCap Software