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For years, DevLearn has been one of my favorite conferences. This year, however, I experienced it from a new vantage point: On the exhibitor side as a member of the Rustici Software team. Joining the booth team for the first time was truly a rewarding experience. Hearing attendees describe their pain points and then introducing our products as a solution was incredibly satisfying. The entire event was buzzing with energy, but one major theme that stood out was the evolution of AI.

The noticeable shift in AI

AI, like previous years, was a major focus at this year’s DevLearn, but there’s been a very noticeable shift in its direction and application. Previously, it had been very focused on content generation, like creating courses, quiz questions, scripts, videos, etc.

Now, the application of AI has shifted to the learner. Platforms are doing a big push around skills and job roles, and effectively mapping and distributing training precisely to those needs. This has always been a holy grail of sorts. If you’ve heard terms like “dynamic content” or “just-in-time training,” those were attempts to deliver and modify content based on which learner was taking it.

Bridging the gap between data and content

To do this kind of skills or role-based dynamic learning requires a large corpus of data around the learner, intimate knowledge of the content and a system that can bridge the two. With AI, it feels like we finally have a system that can successfully bridge the gap between data and content. On one side, we have LMS and HRIS applications that are able to leverage everything known about the learner and deliver relevant courseware to them. On the other side, we have tools like our Rustici Generator product that can break down learning standards content for use in these systems.