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Sisällön tarjoaa Andreas Welsch. Andreas Welsch tai sen podcast-alustan kumppani lataa ja toimittaa kaiken podcast-sisällön, mukaan lukien jaksot, grafiikat ja podcast-kuvaukset. Jos uskot jonkun käyttävän tekijänoikeudella suojattua teostasi ilman lupaasi, voit seurata tässä https://fi.player.fm/legal kuvattua prosessia.
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Empower Women To Thrive In Data & AI (Guest: Sadie St Lawrence)

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Manage episode 411205697 series 3437240
Sisällön tarjoaa Andreas Welsch. Andreas Welsch tai sen podcast-alustan kumppani lataa ja toimittaa kaiken podcast-sisällön, mukaan lukien jaksot, grafiikat ja podcast-kuvaukset. Jos uskot jonkun käyttävän tekijänoikeudella suojattua teostasi ilman lupaasi, voit seurata tässä https://fi.player.fm/legal kuvattua prosessia.

In this episode, Sadie St. Lawrence (Founder of Women in Data & Human-Machine Collaboration Institute) and Andreas Welsch discuss how leaders can empower women to thrive in Data & AI. Sadie shares her story in data and data science and provides valuable tips for listeners looking to increase overall diversity on their teams in an age where AI needs to serve us all.
Key topics:
- Understand the tech industry’s gender gap
- Identify inhibitors for women’s career growth
- Learn how leaders can support women in data & AI
- Foster collaboration across diverse teams and backgrounds
Listen to the full episode to hear how you can:
- Shape organizational culture and lead by example
- Understand how in-group and out-group behavior influences engagement
- Speak up even if you are in a minority group
- Provide space and opportunities for female team members
Watch this episode on YouTube:
https://youtu.be/ffKFsRwEfIk

Support the Show.

***********
Disclaimer: Views are the participants’ own and do not represent those of any participant’s past, present, or future employers. Participation in this event is independent of any potential business relationship (past, present, or future) between the participants or between their employers.

More details:
https://www.intelligence-briefing.com
All episodes:
https://www.intelligence-briefing.com/podcast
Get a weekly thought-provoking post in your inbox:
https://www.intelligence-briefing.com/newsletter

  continue reading

52 jaksoa

Artwork
iconJaa
 
Manage episode 411205697 series 3437240
Sisällön tarjoaa Andreas Welsch. Andreas Welsch tai sen podcast-alustan kumppani lataa ja toimittaa kaiken podcast-sisällön, mukaan lukien jaksot, grafiikat ja podcast-kuvaukset. Jos uskot jonkun käyttävän tekijänoikeudella suojattua teostasi ilman lupaasi, voit seurata tässä https://fi.player.fm/legal kuvattua prosessia.

In this episode, Sadie St. Lawrence (Founder of Women in Data & Human-Machine Collaboration Institute) and Andreas Welsch discuss how leaders can empower women to thrive in Data & AI. Sadie shares her story in data and data science and provides valuable tips for listeners looking to increase overall diversity on their teams in an age where AI needs to serve us all.
Key topics:
- Understand the tech industry’s gender gap
- Identify inhibitors for women’s career growth
- Learn how leaders can support women in data & AI
- Foster collaboration across diverse teams and backgrounds
Listen to the full episode to hear how you can:
- Shape organizational culture and lead by example
- Understand how in-group and out-group behavior influences engagement
- Speak up even if you are in a minority group
- Provide space and opportunities for female team members
Watch this episode on YouTube:
https://youtu.be/ffKFsRwEfIk

Support the Show.

***********
Disclaimer: Views are the participants’ own and do not represent those of any participant’s past, present, or future employers. Participation in this event is independent of any potential business relationship (past, present, or future) between the participants or between their employers.

More details:
https://www.intelligence-briefing.com
All episodes:
https://www.intelligence-briefing.com/podcast
Get a weekly thought-provoking post in your inbox:
https://www.intelligence-briefing.com/newsletter

  continue reading

52 jaksoa

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