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Contenido proporcionado por Seth Earley & Chris Featherstone, Seth Earley, and Chris Featherstone. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Seth Earley & Chris Featherstone, Seth Earley, and Chris Featherstone 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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Enterprise A.I. Strategy, Knowledge Management and more - Rachad Najjar - The Earley AI Podcast with Seth Earley - Episode #037

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Manage episode 389287289 series 2984858
Contenido proporcionado por Seth Earley & Chris Featherstone, Seth Earley, and Chris Featherstone. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Seth Earley & Chris Featherstone, Seth Earley, and Chris Featherstone 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.

Today’s guest is Rachad Najjar, working the forefront of innovation in the fields of organizational learning and knowledge management for nearly a decade. Prior to this, he served as a knowledge management advisor for the Dubai Land Department, where he played a pivotal role in achieving the EFQM Excellence Award. Notably, he's also a co-author of a recent book on knowledge management and research innovation, alongside numerous scientific publications in prestigious journals. In his ground breaking thesis, he introduced a framework to configure collaboration for virtual collectives, improving effectiveness across various professional contexts. Rachad joins Seth Earley and Chris Featherstone to the discuss his insights on AI, knowledge management, enterprise strategy implementation and more.
Takeaways:

  • Seven guiding principles for a successful AI strategy, including a strong business case, process integration, quality training data, continuous supervision, powerful computing infrastructure, and AI and ML skills.
  • AI governance should involve diverse expertise, including legal, supply chain, project management, and knowledge management.
  • Focus on how generative AI is adding value in knowledge management and learning, particularly in areas such as customer support, search, learning, and marketing.

Quote of the Show:

  • "AI models heavily depend on the quality of the training data, so quality in and quality out."

- Rachad Najjar

Thanks to our sponsors:

  continue reading

47 episodios

Artwork
iconCompartir
 
Manage episode 389287289 series 2984858
Contenido proporcionado por Seth Earley & Chris Featherstone, Seth Earley, and Chris Featherstone. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Seth Earley & Chris Featherstone, Seth Earley, and Chris Featherstone 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.

Today’s guest is Rachad Najjar, working the forefront of innovation in the fields of organizational learning and knowledge management for nearly a decade. Prior to this, he served as a knowledge management advisor for the Dubai Land Department, where he played a pivotal role in achieving the EFQM Excellence Award. Notably, he's also a co-author of a recent book on knowledge management and research innovation, alongside numerous scientific publications in prestigious journals. In his ground breaking thesis, he introduced a framework to configure collaboration for virtual collectives, improving effectiveness across various professional contexts. Rachad joins Seth Earley and Chris Featherstone to the discuss his insights on AI, knowledge management, enterprise strategy implementation and more.
Takeaways:

  • Seven guiding principles for a successful AI strategy, including a strong business case, process integration, quality training data, continuous supervision, powerful computing infrastructure, and AI and ML skills.
  • AI governance should involve diverse expertise, including legal, supply chain, project management, and knowledge management.
  • Focus on how generative AI is adding value in knowledge management and learning, particularly in areas such as customer support, search, learning, and marketing.

Quote of the Show:

  • "AI models heavily depend on the quality of the training data, so quality in and quality out."

- Rachad Najjar

Thanks to our sponsors:

  continue reading

47 episodios

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