Why Job Descriptions Lie: The Real Data Behind Human Potential
From The Talent Equation Podcast with Nolan Hout · 00:34:06
Show by Infopro Learning
Human potential, job descriptions, and employee skills sit at the center of a problem most companies have never solved: they do not actually know what their people can do. Dr. Sandra Loughlin, Chief Learning Scientist, EPAM Systems, joins Nolan Hout, SVP, Growth & AI Strategist, Infopro Learning, to unpack why job descriptions and self-reported skills data are unreliable, why training and learning are not the same thing, and why AI is now forcing organizations to close this gap or fall behind. Sandra draws on decades of experience building EPAM into a skills-based organization to explain what better data on human potential actually looks like and why it matters more than ever for CHROs and CLOs making workforce decisions today. Follow The Talent Equation on Spotify for weekly conversations on talent strategy, AI, L&D and workforce performance.
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