AI Made Training Faster. Now It Needs to Make Training Real.
November 5 @ 2:45 pm – 3:15 pm EST
AI has genuinely solved a speed and capacity problem in L&D. Content generation, course authoring, and personalized learning paths now happen dramatically faster than even just a couple of years ago, but speed was never the measure of whether training actually worked; retention and job-readiness were. In this session, we’ll make the case that the next frontier for L&D isn’t making training faster, it’s making it real: live systems, live environments, live consequences, live troubleshooting. We’ll explore what “real” training actually requires, where AI genuinely strengthens it (and where it doesn’t), and how AI-powered platforms can be built around hands-on practice rather than around content alone. Attendees will leave with a practical framework for evaluating whether their own training stack builds real capability, not just more content.
During this session, you will learn:
- Why completion and content speed are no longer reliable indicators of training effectiveness in an AI-saturated L&D landscape
- Tips for distinguishing “AI-powered content” from “AI-powered capability”
- What “real” hands-on training requires that passive or simulated content can’t replicate
- How to evaluate AI training tools based on whether they still require learners to do the task, not just consume it
Ben Mills
Area VP Enterprise Accounts
CloudShare
Sponsored by
AI Made Training Faster. Now It Needs to Make Training Real.
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