Jason Averbook - Why Data Fitness is More Important than an AI
HR Data Labs podcast
English - February 22, 2024 12:00 - 36 minutes - 25 MB - ★★★★★ - 12 ratingsManagement Business human resources analytics data people insights insights people big data hr analytics business metrics Homepage Download Apple Podcasts Google Podcasts Overcast Castro Pocket Casts RSS feed
Jason Averbook is a Senior Partner at Mercer and a global leader in HR
transformation. He has more than 25 years of experience in the HR and
technology industries, and he has guided industry-leading companies
through strategic HR transformations.
In this episode, Jason presents his takeaways from 2023 and talks about
how current HR trends will shape the future of the industry.
Chapters
[0:00 - 5:10] Introduction
• Welcome, Jason!
• Today’s Topic: Perspectives on HR and Emerging Technologies
[5:11 - 20:51] Jason’s takeaways from 2023
• 2023’s geopolitical events had significant mental health implications for
American workers
• Many organizations who have ignored their data are just now starting to
uncover its flaws
[20:52 - 29:20] Is 2024 the year of mass AI integration for HR?
• Generative AI will help us see where our data problems are, but we may
still need to solve the problems themselves
• Data fitness should be prioritized before a generative AI rollout
[29:21 - 35:20] How will emerging technologies affect HR one year from
now, in 2025?
• HR will be doing much less “hands work” and much more “heads work
and hearts work”
• Will HR roles be replaced by new technologies?
[35:21 - 36:24] Closing
• Thanks for listening!
Quotes
“AI has exposed the fact that organizations that don’t have good data can’t
use [tools like large language models].”
“The unlearning effort of 2024 to prepare for 2025 is more than the
technology effort—it’s more than the data effort.”
Contact:
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Dwight's LinkedIn
Podcast Manger: Karissa Harris
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