What’s under the hood: Parsing standardized learning content for AI

Implementing AI in learning platforms is a lot like working on a car. What seems straightforward, “just connect AI to your content” quickly becomes complicated once you pop the hood. You’ll likely find your training content is wrapped in a tangle of different eLearning standards like SCORM, xAPI or cmi5, often inconsistently implemented across tools. In this webinar, Chris Tompkins and Josh Darpino will break down how standards and authoring tool quirks can create major blind spots for AI, and how the right tools can help you turn your application into a well-tuned machine. We’ll cover what bad parsing looks like and what good parsing can do to unlock accurate search, personalized experiences and solid reporting.

If you’re exploring AI-powered search, adaptive learning or content tagging, you’ll want to be sure you’re fueling those tools with the right data. Register now to attend our live webinar on Tuesday, August 19th from 10-11am Central.

What you’ll learn:

• What are eLearning standards and why AI struggles with them
• How authoring tools and inconsistent implementations complicate things
• What good vs. poor parsing actually looks like in practice
• How to enable text extraction, transcription and metadata generation that really works
• Use cases where better data parsing improves search, personalization, admin and analytics
• What to ask your team and vendors about AI readiness