Webinar

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20 May

AI-Powered Analytics: The Next Evolution in Learning Impact Measurement

AI-Powered Analytics: The Next Evolution in Learning Impact Measurement

Tuesday, May 20, 2025 (12:00 AM to 11:59 PM)
1 PDCs
Provider: Brandon Hall Group
Course Name: Webinar

Speaker: Roberta Gogos, Pranav Shastri and Rohini Gupta
Program Type: Videoconferences, webcasts, audiocasts, podcasts, eBooks, self-directed E-Learning
Registration URL: https://us06web.zoom.us/webinar/register/WN_obsoDLxyRN--44tkhzr9lw

Email Details

Join Brandon Hall Group™ Principal Analyst Roberta Gogos and EI Powered by MPS’ analytics leadership team to explore how organizations are leveraging AI-powered analytics to transform learning measurement. Drawing from research and implementation experiences, this session will demonstrate how L&D leaders can: - Use AI-powered analytics in Learning Technologies to drive deeper insights into learning effectiveness - Apply predictive analytics for better skill gap analysis and competency mapping - Customize measurement frameworks that align with your unique business context - Design flexible ROI models that adapt to different training initiatives - Transform learning analytics into actionable insights for ecosystem improvement

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The gap between traditional learning measurement and modern business needs continues to widen. Brandon Hall Group™ HR Outlook research reveals that organizations struggle to link learning initiatives to tangible business outcomes, with learning platforms generating more data than ever but providing fewer actionable insights. In fact, 74% of organizations feel equipped to handle today's demands, this drops to just 63% when looking at future readiness. As L&D teams adopt new tools like Learning Experience Platforms (LXPs), there's an urgent need to harness AI-powered analytics effectively. You'll leave this session with practical frameworks for implementing AI-powered analytics, approaches for creating flexible measurement models, and strategies for using analytics to enhance your learning ecosystem's effectiveness.