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Episode 128: A Microsoft MVP's blueprint for Copilot readiness

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Manage episode 376912325 series 1318639
Conteúdo fornecido por Digital Workplace Impact and Digital Workplace Group. Todo o conteúdo do podcast, incluindo episódios, gráficos e descrições de podcast, é carregado e fornecido diretamente por Digital Workplace Impact and Digital Workplace Group 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.

As a Microsoft MVP, Darrell Webster offers knowledge and experience in a way that bridges IT ‘know how’ with a clear understanding of user adoption and needs. In his words, the subject matter becomes his method to connect with people and to learn together with them.


In this episode, Digital Workplace Impact host Nancy Goebel chats with the New Zealand-based modern work mentor and podcaster. They share insights and reflections on generative AI and specifically on Microsoft Copilot.


Darrell talks through the necessity of understanding this new technology, what it could reveal and the value it could uncover, but also the need to prepare well and create community around its introduction. He takes listeners through his own mini-blueprint for readiness as Copilot advances into the workplace– including the idea of piloting Copilot itself.


Generative AI has the potential to spark a whole new level of natural curiosity and stronger collaboration, but might it also surface information that perhaps we shouldn't always see? Darrell shares helpful watchouts to consider, along with encouragement to explore what’s ahead.


If you have more questions than answers about generative AI, then listen today and find out more about preparing for Copilot in the digital workplace.


(Show notes, links and transcript for this episode.)

Guest speakers:

Darrell Webster,

Microsoft MVP and modern work mentor



Hosted on Acast. See acast.com/privacy for more information.

  continue reading

138 episódios

Artwork
iconCompartilhar
 
Manage episode 376912325 series 1318639
Conteúdo fornecido por Digital Workplace Impact and Digital Workplace Group. Todo o conteúdo do podcast, incluindo episódios, gráficos e descrições de podcast, é carregado e fornecido diretamente por Digital Workplace Impact and Digital Workplace Group 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.

As a Microsoft MVP, Darrell Webster offers knowledge and experience in a way that bridges IT ‘know how’ with a clear understanding of user adoption and needs. In his words, the subject matter becomes his method to connect with people and to learn together with them.


In this episode, Digital Workplace Impact host Nancy Goebel chats with the New Zealand-based modern work mentor and podcaster. They share insights and reflections on generative AI and specifically on Microsoft Copilot.


Darrell talks through the necessity of understanding this new technology, what it could reveal and the value it could uncover, but also the need to prepare well and create community around its introduction. He takes listeners through his own mini-blueprint for readiness as Copilot advances into the workplace– including the idea of piloting Copilot itself.


Generative AI has the potential to spark a whole new level of natural curiosity and stronger collaboration, but might it also surface information that perhaps we shouldn't always see? Darrell shares helpful watchouts to consider, along with encouragement to explore what’s ahead.


If you have more questions than answers about generative AI, then listen today and find out more about preparing for Copilot in the digital workplace.


(Show notes, links and transcript for this episode.)

Guest speakers:

Darrell Webster,

Microsoft MVP and modern work mentor



Hosted on Acast. See acast.com/privacy for more information.

  continue reading

138 episódios

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