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Summary:

Bennett Sung is the head of marketing for Humanly (humanly.io), a conversational AI for recruiting engine that helps surface the most qualified, diverse pool of applicants at scale. He is a creative technologist with 16+ years of experience leading corporate and product marketing functions at startups and public companies. He has also been included in the Most Inclusive HR Influencer List since 2019.

In this episode, Bennett talks about how new application tracking technology could entirely change how we think about (and use) applicant data.

Chapters:

[0:00 - 4:52] Introduction

Welcome, Bennett!
Today’s Topic: Emerging Technologies in Application Tracking Systems

[4:53 - 16:11] The development of a new category of application tracking technology

Technology has begun parsing through interviews so we can learn from and document those interactions
Using interview data to inform and improve future interviews

[16:12 - 22:55] Improving the over-automated application tracking process

How to re-introduce humans to automated application tracking systems
Documenting applicants’ skills and next level data to build a better matching engine

[22:56 - 27:10] Bennett’s predictions for 2023

Building an employee skills ontology to promote internal mobility and prevent skill loss through layoffs
Why we need to focus on retooling the hiring manager experience

[27:11 - 29:25] Final Thoughts & Closing

Will 2024 be when we see real data integration?
Thanks for listening!

Quotes:

“Once we start to look at the aggregation of data across interviews in organizations, and we slice it by diversity filters—this is where the eyes open up.”

“We need [an employee skills ontology]. It is the crux that holds recruiting back—completely!”

Contact:
Bennett's LinkedIn
David's LinkedIn

Production by Affogato Media
Podcast Manger: Karissa Harris

Bennett Sung - HR Tech 2022 Series - Revolutionary Emerging Technologies in ATS 29:25 Share

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Bennett Sung - HR Tech 2022 Series - Revolutionary Emerging Technologies in ATS