Webinars
DCL Learning Series
Upcoming Webinars
The DCL Learning Series covers topics that relate to content and data conversion with an instructional twist. DCL speaks with industry experts and brings meaningful presentations and conversation direct to your screen. Topics include research integrity, DITA, S1000D, Section 508 and accessibility, XML standards, PubMed, artificial intelligence, and much more.
Our webinar calendar is constantly updated. Click the link to receive alerts for upcoming webinars.
KEYWORDS:
artificial intelligence, AI, content delivery, content personalization, content automation, content sprawl, structured content, metadata, content redundancy, DCL's Harmonizer, content operations, AI model training, enterprise knowledge, Data Conversion Laboratory
SPEAKERS:
Christopher Hill, Technical Product & Project Manager,
Data Conversion Laboratory
Marianne Calilhanna, VP Marketing, Data Conversion Laboratory
Before You Feed the Machine: Cleaning Content for AI Workflows
Wed, Jul 22, 2026 1:00 PM - 1:45 PM EDT
As organizations race to leverage AI for content delivery, personalization, and automation, one unfortunate truth continues to surface: AI is only as good as the content it consumes. But before you can feed the machine, you have to clean up what you're feeding it. Content sprawl is the accumulated weight of inconsistent, redundant, and poorly structured information and it silently undermines AI initiatives before they even begin.
AI-driven systems depend heavily on:
1. Clean data
2. Consistent terminology
3. Low redundancy
4. Clear structure
5. Accurate metadata
Yet most content collections are deeply fragmented, inconsistent, and full of redundant text. The machine will consume whatever you give it — but messy content in means unreliable, untrustworthy output.
Harmonizer, a content redundancy analysis and reuse platform from Data Conversion Laboratory, reveals exactly how much of your content is duplicative and where true reuse potential lies, enabling organizations to reduce maintenance costs, streamline content operations, and increase editorial accuracy.
Harmonizer helps teams collapse redundant material into lean, high-value knowledge assets that are easier to manage, update, translate, and ultimately prepare for AI consumption. In this webinar, you'll learn how content cleanup and harmonization serve as foundational steps for AI-ready content workflows, why reuse analysis matters before automation and model training, and how structured collections amplify the value of emerging AI technologies. Turn messy repositories into strategic enterprise knowledge with Harmonizer.