Modern Hire – How Pre-Hire Data Is Related To Post-Hire Outcomes with Eric Sydell" cover_image_url="https://recruitingdaily.com/wp-content/uploads/2021/08/Modern-Hire-How-Pre-Hire-Data-Is-Related-To-Post-Hire-Outcomes.png" bgcolor="#f5f5f5" txtcolor="#1a1c1d" accent_color="#1899ff" font_family="Roboto"]
Modern Hire – How Pre-Hire Data Is Related To Post-Hire Outcomes with Eric Sydell
Today I have Eric Sydell of Modern Hire on the podcast. Today’s topic came up in conversation after HR Tech, and we thought it would make for a good podcast. Essentially, we will be learning how pre-hire data is related to post-hire outcomes.
About Eric and Modern Hire
Eric oversees all research and product innovation initiatives at Modern Hire, including the data science-focused Labs team.
He is passionate about applying machine learning and deep learning to candidate data to more effectively match candidates with career opportunities. He is highly motivated to show the power of these new AI-based technologies and guide them to ensure they benefit individuals as well as organizations.
Modern Hire’s innovative platform combines the predictive power of pre-hire assessments, interview tech, candidate self-scheduling, automated workflows, advanced analytics, AI, and more.
Press play to learn more!
Listening time: 26 minutes
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The RecruitingDaily Podcast
Authors
William Tincup
William is the President & Editor-at-Large of RecruitingDaily. At the intersection of HR and technology, he’s a writer, speaker, advisor, consultant, investor, storyteller & teacher. He's been writing about HR and Recruiting related issues for longer than he cares to disclose. William serves on the Board of Advisors / Board of Directors for 20+ HR technology startups. William is a graduate of the University of Alabama at Birmingham with a BA in Art History. He also earned an MA in American Indian Studies from the University of Arizona and an MBA from Case Western Reserve University.
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