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Contenido proporcionado por Softchoice. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Softchoice o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.
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From the bar to the boardroom: Practical steps toward a GenAI strategy

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Manage episode 378214308 series 2974167
Contenido proporcionado por Softchoice. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Softchoice o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.

It’s official: generative AI has permeated the culture, appearing in conversations at work, around the dinner table and yes, even over drinks with friends. With 2024 on the horizon and technology budgets due to reset, C-suite leaders and boards are talking about it, too.

So how do you take this hot topic from casual chat to enterprise strategy?

This week, Craig McQueen, VP of Digital Acceleration at Softchoice, joins hosts Cheryl and Aaron on location at their favorite watering hole to discuss why now is the time to act on GenAI implementation – and, more importantly, how to go about it.
The discussion uncovered 3 steps for adopting large language models (LLMs) in a business context. First, find your use case – a hypothesis for proving whether GenAI will solve your business problem. Next, determine the data needed and do a full security review. Then, start testing, iterating and seeking out those internal enthusiasts to help lead the change.

Featuring: Craig McQueen, Vice President of Digital Acceleration, Softchoice

The Catalyst by Softchoice is the podcast dedicated to exploring the intersection of humans and technology.

Want to unlock the power of Gen AI in your business? See how Softchoice’s Catalyst Generative AI Workshop can help: Softchoice.com/GenAI.

The Catalyst by Softchoice is the podcast dedicated to exploring the intersection of humans and technology.

  continue reading

91 episodios

Artwork
iconCompartir
 
Manage episode 378214308 series 2974167
Contenido proporcionado por Softchoice. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Softchoice o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.

It’s official: generative AI has permeated the culture, appearing in conversations at work, around the dinner table and yes, even over drinks with friends. With 2024 on the horizon and technology budgets due to reset, C-suite leaders and boards are talking about it, too.

So how do you take this hot topic from casual chat to enterprise strategy?

This week, Craig McQueen, VP of Digital Acceleration at Softchoice, joins hosts Cheryl and Aaron on location at their favorite watering hole to discuss why now is the time to act on GenAI implementation – and, more importantly, how to go about it.
The discussion uncovered 3 steps for adopting large language models (LLMs) in a business context. First, find your use case – a hypothesis for proving whether GenAI will solve your business problem. Next, determine the data needed and do a full security review. Then, start testing, iterating and seeking out those internal enthusiasts to help lead the change.

Featuring: Craig McQueen, Vice President of Digital Acceleration, Softchoice

The Catalyst by Softchoice is the podcast dedicated to exploring the intersection of humans and technology.

Want to unlock the power of Gen AI in your business? See how Softchoice’s Catalyst Generative AI Workshop can help: Softchoice.com/GenAI.

The Catalyst by Softchoice is the podcast dedicated to exploring the intersection of humans and technology.

  continue reading

91 episodios

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