Webinar: Smarter Than LMS – AI Improves the Learning Experience
WEBINAR: Smarter Than LMS – How AI Measurably Improves Learning Experience and Impact
Traditional LMSs aren’t known for elegant user experience design. That’s because they were developed as administrative tools to support mandated workplace compliance training.
But today’s learners expect more. They want instant, on-demand access to relevant instruction, guidance, expertise and resources — ideally delivered in quick videos or other bursts of useful information. They want to manage their own learning as a lifelong process that fits their unique professional and personal interests.
How can training departments address these demands? They can’t. But that’s where artificial intelligence can make a meaningful difference.
Join John Leh, CEO and Lead Analyst at Talented Learning, and Ryan Bertrand, Vice President of Enterprise Solutions at EdCast, as they share key trends and case studies that illustrate the power of combining AI with an LMS. You’ll discover:
- How AI is transforming organizational learning
- What you can do to create a “smarter” employee learning experience
- The role AI plays in complementing (not replacing) learning platforms
- How to predict and measure AI’s impact in the learning experience
- Real-world examples of successful AI-enhanced learning initiatives
Join us to find out how AI can help you provide learning that is more personal, memorable and valuable for participants, as well as your organization.
John Leh is CEO and Lead Analyst at Talented Learning, LLC. Named one of the world’s Top 20 Corporate Elearning Movers and Shakers of 2017, John is a fiercely independent LMS selection consultant and blogger who helps organizations develop and implement technology strategies – primarily for the extended enterprise.
Drawing upon more than 20 years of successful elearning industry experience, John founded Talented Learning early in 2014. To date, he has served as a trusted LMS selection consultant and sales adviser to more than 100 learning organizations with a total technology spend of more than $65 million.