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#134 - Scott Reida - Rule of 72, Michael Jordan, & Talent Hubs

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Manage episode 495419421 series 3537891
Content provided by Directionally Correct, A People Analytics Podcast with Cole & Scott, Directionally Correct, A People Analytics Podcast with Cole, and Amp; Scott. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Directionally Correct, A People Analytics Podcast with Cole & Scott, Directionally Correct, A People Analytics Podcast with Cole, and Amp; Scott 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.
Help support the podcast: We are a listener supported podcast. By becoming a patron you will help us cover the costs of producing and distributing our podcast, while getting special premium access to the hosts. Please become a patron of Directionally Correct by going here: https://patron.podbean.com/directionallycorrect

Check out Cole’s new website colenapper.com!
Welcome to an engaging episode of Directionally Correct, a podcast dedicated to people analytics. Join our host as he sits down with the insightful Scott Reida from Amazon Web Services to delve into a myriad of topics transforming the workforce landscape.

This episode kicks off with a humorous anecdote about feline interruptions before diving into the crux of the conversation - the Rule of 72 and its implications for workforce skill obsolescence. Scott explains this rule's origin in finance and fascinatingly applies it to people analytics, offering insights into how job roles evolve over time with skill replacement becoming a necessity.

The discussion meanders through intriguing topics, including the use of machine learning models like GPTs in predicting talent hub success, drawing parallels to traditional linked data sharing in the people analytics space, and innovative ways to stay ahead in the field.

The conversation explores the intriguing intersection of AI advancements, productivity, and salary structures, touching upon the theory of how AI might lead to job equality in pay scales.

Tune in for a vibrant chat that not only educates but also enlivens the understanding of contemporary challenges and innovations in people analytics.

  continue reading

100 episodes

Artwork
iconShare
 
Manage episode 495419421 series 3537891
Content provided by Directionally Correct, A People Analytics Podcast with Cole & Scott, Directionally Correct, A People Analytics Podcast with Cole, and Amp; Scott. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Directionally Correct, A People Analytics Podcast with Cole & Scott, Directionally Correct, A People Analytics Podcast with Cole, and Amp; Scott 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.
Help support the podcast: We are a listener supported podcast. By becoming a patron you will help us cover the costs of producing and distributing our podcast, while getting special premium access to the hosts. Please become a patron of Directionally Correct by going here: https://patron.podbean.com/directionallycorrect

Check out Cole’s new website colenapper.com!
Welcome to an engaging episode of Directionally Correct, a podcast dedicated to people analytics. Join our host as he sits down with the insightful Scott Reida from Amazon Web Services to delve into a myriad of topics transforming the workforce landscape.

This episode kicks off with a humorous anecdote about feline interruptions before diving into the crux of the conversation - the Rule of 72 and its implications for workforce skill obsolescence. Scott explains this rule's origin in finance and fascinatingly applies it to people analytics, offering insights into how job roles evolve over time with skill replacement becoming a necessity.

The discussion meanders through intriguing topics, including the use of machine learning models like GPTs in predicting talent hub success, drawing parallels to traditional linked data sharing in the people analytics space, and innovative ways to stay ahead in the field.

The conversation explores the intriguing intersection of AI advancements, productivity, and salary structures, touching upon the theory of how AI might lead to job equality in pay scales.

Tune in for a vibrant chat that not only educates but also enlivens the understanding of contemporary challenges and innovations in people analytics.

  continue reading

100 episodes

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