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Ep 663: Personalizing The Candidate Experience At Scale

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Manage episode 456699401 series 1535872
Content provided by Matt Alder. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Matt Alder or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

For years, a candidate experience that delivers truly personalized feedback at scale has been an unattainable dream for talent acquisition teams. Candidates have always wanted tailored feedback, advice, and the opportunity to ask questions, but the sheer volume of applications has made this impossible

So, is AI now revolutionizing the candidate experience and finally making mass personalization a reality? What does it take to create an ethical, transparent system that provides candidates with two-way interactions and personalized feedback, all while improving efficiency and reducing workload for TA teams?

My guest this week is Sam Dhesi, CEO of Popp AI. Despite only being 18 months old, Popp AI is already partnering with FTSE 100 companies and global staffing organizations. In our conversation, Sam shares real-world results on how AI enables conversational assessment, provides personalized candidate feedback, drives engagement, and vastly improves hiring efficiency.

In the interview, we discuss:

  • How AI is changing the way employers interact with assess candidates

  • Building in an ethically and responsible way

  • The importance of human oversight and explainability

  • Delivering constructive personalized feedback at scale

  • Facilitating mass candidate engagement

  • Using assessment via conversational AI as a replacement for the resume

  • Which employers are doing all of this well, and what tangible results have they achieved

  • What does the future look like? Where will hiring be in five years time?

Follow this podcast on Apple Podcasts.

Follow this podcast on Spotify.

  continue reading

762 episodes

Artwork
iconShare
 
Manage episode 456699401 series 1535872
Content provided by Matt Alder. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Matt Alder or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

For years, a candidate experience that delivers truly personalized feedback at scale has been an unattainable dream for talent acquisition teams. Candidates have always wanted tailored feedback, advice, and the opportunity to ask questions, but the sheer volume of applications has made this impossible

So, is AI now revolutionizing the candidate experience and finally making mass personalization a reality? What does it take to create an ethical, transparent system that provides candidates with two-way interactions and personalized feedback, all while improving efficiency and reducing workload for TA teams?

My guest this week is Sam Dhesi, CEO of Popp AI. Despite only being 18 months old, Popp AI is already partnering with FTSE 100 companies and global staffing organizations. In our conversation, Sam shares real-world results on how AI enables conversational assessment, provides personalized candidate feedback, drives engagement, and vastly improves hiring efficiency.

In the interview, we discuss:

  • How AI is changing the way employers interact with assess candidates

  • Building in an ethically and responsible way

  • The importance of human oversight and explainability

  • Delivering constructive personalized feedback at scale

  • Facilitating mass candidate engagement

  • Using assessment via conversational AI as a replacement for the resume

  • Which employers are doing all of this well, and what tangible results have they achieved

  • What does the future look like? Where will hiring be in five years time?

Follow this podcast on Apple Podcasts.

Follow this podcast on Spotify.

  continue reading

762 episodes

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