Your LMS Called. It Wants 2016 Back: Why Organizations Need a Learning Partner Built for the AI Era.
October 28 @ 1:00 pm – 2:00 pm EDT
Most LMSs were built to prove that people finished training, not that the training made a difference.
So L&D teams report completions to a business that wants results. Meanwhile, the most advanced organizations have moved on. Take industrial manufacturer VEIDEC, which replaced static, classroom-style courses with on-demand, AI-localized microlearning, driving a +13.5% revenue lift across core European markets and an 11.6x sales surge on key focus products. Leading organizations measure things differently, expect more from their learning partners, and are already testing the AI that will be standard practice within 18 months.
In this session, Fuse Founder Steve Dineen and AI Product Lead Howard Mitchell share what those organizations are doing differently, drawn from real customer data. You might be replacing your LMS, or you might be stuck with the one you have. Either way, you’ll leave with ideas you can act on straight away.
You’ll learn:
- Why completion is the wrong metric. When one global enterprise compared learning plan completion with business results, it found a 6% uplift. When it looked at returning users, the change was 300%. You’ll see what to measure instead, and how to build a business case finance will believe.
- What the most innovative L&D teams are testing right now. AI tutoring, AI coaching, AI training, and elite performance coaching, combined in one experience in the flow of work.
- What a real learning partnership looks like. A partner who is accountable for your outcomes, not just a license and a login. Plus the questions that show whether a vendor will actually be one.
- What to do if you can’t change your LMS. How to bring AI-powered performance support to your people without starting over.
Steve Dineen
Fuse Founder
Fuse Universal
Howard Mitchell
AI Product Lead
Fuse
Sponsored by
Your LMS Called. It Wants 2016 Back. Why Organizations Need a Learning Partner Built for the AI Era.
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