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Episode 1: ATD TechKnowledge 2024 WrapUp

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Manage episode 410076767 series 3565880
Conteúdo fornecido por TorranceLearning. Todo o conteúdo do podcast, incluindo episódios, gráficos e descrições de podcast, é carregado e fornecido diretamente por TorranceLearning ou por seu parceiro de plataforma de podcast. Se você acredita que alguém está usando seu trabalho protegido por direitos autorais sem sua permissão, siga o processo descrito aqui https://pt.player.fm/legal.

We started a podcast!

In this episode of Tangents with TorranceLearning, hosts Meg Fairchild and Megan Torrance discuss Megan's recent experience at the TechKnowledge conference. They delve into the unique format of the conference, the sessions Megan presented, and the emergence of artificial intelligence in the learning and development space.

Key points from the episode include:

  • Megan shares insights into the TechKnowledge conference, highlighting its tech-forward nature, smaller scale compared to other conferences, and the experimental formats employed by the ATD. She also details her presentations at TechKnowledge, including talks on xAPI for data and analytics and the role of artificial intelligence in the learning data ecosystem.
  • The hosts discuss the increasing emphasis on artificial intelligence in the learning and development space, with Megan shedding light on the relevance and resonance of AI frameworks in their work. They also touch upon the challenges of keeping up with the rapid advancements in AI tools and technologies.
  • Megan shares her experience with an impactful keynote address at TK, delivered by Mick Ebling from Not Impossible Labs. The discussion centers on Ebling's inspiring stories of problem-solving and the compelling message of "commit, then figure it out."

Show Credits:

Hosts: Meg Fairchild and Megan Torrance

Producer: Dean Castile

Music: Original music by Dean Castile

AI Transparency Statement: AI was used to generate the first draft of the transcript and the show notes for this episode. It was then edited by real humans.

  continue reading

9 episódios

Artwork
iconCompartilhar
 
Manage episode 410076767 series 3565880
Conteúdo fornecido por TorranceLearning. Todo o conteúdo do podcast, incluindo episódios, gráficos e descrições de podcast, é carregado e fornecido diretamente por TorranceLearning ou por seu parceiro de plataforma de podcast. Se você acredita que alguém está usando seu trabalho protegido por direitos autorais sem sua permissão, siga o processo descrito aqui https://pt.player.fm/legal.

We started a podcast!

In this episode of Tangents with TorranceLearning, hosts Meg Fairchild and Megan Torrance discuss Megan's recent experience at the TechKnowledge conference. They delve into the unique format of the conference, the sessions Megan presented, and the emergence of artificial intelligence in the learning and development space.

Key points from the episode include:

  • Megan shares insights into the TechKnowledge conference, highlighting its tech-forward nature, smaller scale compared to other conferences, and the experimental formats employed by the ATD. She also details her presentations at TechKnowledge, including talks on xAPI for data and analytics and the role of artificial intelligence in the learning data ecosystem.
  • The hosts discuss the increasing emphasis on artificial intelligence in the learning and development space, with Megan shedding light on the relevance and resonance of AI frameworks in their work. They also touch upon the challenges of keeping up with the rapid advancements in AI tools and technologies.
  • Megan shares her experience with an impactful keynote address at TK, delivered by Mick Ebling from Not Impossible Labs. The discussion centers on Ebling's inspiring stories of problem-solving and the compelling message of "commit, then figure it out."

Show Credits:

Hosts: Meg Fairchild and Megan Torrance

Producer: Dean Castile

Music: Original music by Dean Castile

AI Transparency Statement: AI was used to generate the first draft of the transcript and the show notes for this episode. It was then edited by real humans.

  continue reading

9 episódios

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