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Episode 26: How Can Technology Optimize the Hiring Process? with Prem Kumar

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Inhalt bereitgestellt von Chris Nichols. Alle Podcast-Inhalte, einschließlich Episoden, Grafiken und Podcast-Beschreibungen, werden direkt von Chris Nichols oder seinem Podcast-Plattformpartner hochgeladen und bereitgestellt. Wenn Sie glauben, dass jemand Ihr urheberrechtlich geschütztes Werk ohne Ihre Erlaubnis nutzt, können Sie dem hier beschriebenen Verfahren folgen https://de.player.fm/legal.

In this episode, Chris discusses the benefits of using AI in the hiring process. Prem Kumar the CEO and Co-founder of Humanly was the perfect guest!
Listen as Prem shares his expertise on topics such as:
candidate experience
measuring interview efficacy and equity and the impact to candidate outcomes
automation, ai, and tech in hiring- where it can fail and where it can help
About Prem
Prem currently is CEO and co-founder of Humanly, an AI platform that helps companies become more efficient and equitable in their conversations with job candidates. Previously to that, Prem led the product management and design teams at TINYpulse, an employee engagement company that empowers organizations to build world class cultures with real-time people data. Prior to TINYpulse, Prem spent 10 years at Microsoft working in a variety of product capacities including within Microsoft's HR technology department.
In addition to his day job, Prem loves sharing his ideas through writing, as a member of the Forbes Business Council, representing the US as a Peter Drucker Essay Challenge winner in 2013, as well as receiving two “Best of ThinkWeek” awards for white papers aimed at breaking down cultural barriers at Microsoft. Prem has been recognized as a Top HR Influencer, INROADS 50/50 alumni and a Forbes 1000 entrepreneur.
Outside of work, Prem spends time with his two young kids and wife and enjoys travel and Seattle sports.

  continue reading

32 Episoden

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iconTeilen
 

Fetch error

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What now? This series will be checked again in the next day. If you believe it should be working, please verify the publisher's feed link below is valid and includes actual episode links. You can contact support to request the feed be immediately fetched.

Manage episode 344485739 series 2946108
Inhalt bereitgestellt von Chris Nichols. Alle Podcast-Inhalte, einschließlich Episoden, Grafiken und Podcast-Beschreibungen, werden direkt von Chris Nichols oder seinem Podcast-Plattformpartner hochgeladen und bereitgestellt. Wenn Sie glauben, dass jemand Ihr urheberrechtlich geschütztes Werk ohne Ihre Erlaubnis nutzt, können Sie dem hier beschriebenen Verfahren folgen https://de.player.fm/legal.

In this episode, Chris discusses the benefits of using AI in the hiring process. Prem Kumar the CEO and Co-founder of Humanly was the perfect guest!
Listen as Prem shares his expertise on topics such as:
candidate experience
measuring interview efficacy and equity and the impact to candidate outcomes
automation, ai, and tech in hiring- where it can fail and where it can help
About Prem
Prem currently is CEO and co-founder of Humanly, an AI platform that helps companies become more efficient and equitable in their conversations with job candidates. Previously to that, Prem led the product management and design teams at TINYpulse, an employee engagement company that empowers organizations to build world class cultures with real-time people data. Prior to TINYpulse, Prem spent 10 years at Microsoft working in a variety of product capacities including within Microsoft's HR technology department.
In addition to his day job, Prem loves sharing his ideas through writing, as a member of the Forbes Business Council, representing the US as a Peter Drucker Essay Challenge winner in 2013, as well as receiving two “Best of ThinkWeek” awards for white papers aimed at breaking down cultural barriers at Microsoft. Prem has been recognized as a Top HR Influencer, INROADS 50/50 alumni and a Forbes 1000 entrepreneur.
Outside of work, Prem spends time with his two young kids and wife and enjoys travel and Seattle sports.

  continue reading

32 Episoden

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