Matt Sigelman, president of the nonprofit research organization Burning Glass Institute, which is working with the companies to pull data both from job descriptions and resumes to help create the taxonomy, says “I would think about this project as potentially trying to create a Rosetta Stone.” He continued the analogy saying “we're not going to get everyone to speak Esperanto [an artificial, constructed language designed to be universal], but what we can do is create a translation mechanism on the back end.
The new data shows the first time it’s widened in a statistically significant way since 2003.“This growth hasn’t been equally shared across demographic groups—especially for women, especially for women of color, who tend to work in lower-paying jobs,” Sara Estep at the Center for American Progress told Marketplace.
Forbes’ Maria Gracia Santillana Linares was onsite with a live blog, capturing everything from Lattice’s Sarah Franklin opening up about leading the human resources platform to an in-depth and thought-provoking discussion with IBM’s Nickle LaMoreaux, LinkedIn’s Aneesh Raman and Deloitte’s Anthony Stephan about AI—and what it all means for humans, soft skills and work.
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