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Contenido proporcionado por Tamas Hevizi and Arpad Hevizi, Tamas Hevizi, and Arpad Hevizi. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Tamas Hevizi and Arpad Hevizi, Tamas Hevizi, and Arpad Hevizi 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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AI Fatigue

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Manage episode 434292249 series 2889059
Contenido proporcionado por Tamas Hevizi and Arpad Hevizi, Tamas Hevizi, and Arpad Hevizi. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Tamas Hevizi and Arpad Hevizi, Tamas Hevizi, and Arpad Hevizi 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.

In this episode we dive into the growing phenomenon of AI fatigue, a sentiment increasingly felt by companies as they navigate the overwhelming number of AI technologies and startups in the market. We discuss the complexities of the AI gold rush, where massive investments and high expectations are met with varying degrees of success and skepticism. The conversation highlights the challenges buyers face in making informed decisions amidst the AI hype and the critical need for selecting the right use cases and vendors to drive real value. We also emphasize the importance of AI literacy and education within organizations to bridge the gap between potential and actual productivity gains.

The episode further explores the economic implications of AI investments, particularly the significant role of AI hardware and chip makers, and the pressure on companies to justify the high costs associated with AI development. As we review strategies for surviving the AI hype cycle, we advocate for a use case-centric approach, urging companies to focus on real business problems rather than pursuing AI for the sake of it. We conclude by reflecting on the balance between innovation and process efficiency, encouraging you to be disciplined in their AI endeavors while remaining open to transformative ideas that could reshape their businesses.

  continue reading

83 episodios

Artwork
iconCompartir
 
Manage episode 434292249 series 2889059
Contenido proporcionado por Tamas Hevizi and Arpad Hevizi, Tamas Hevizi, and Arpad Hevizi. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Tamas Hevizi and Arpad Hevizi, Tamas Hevizi, and Arpad Hevizi 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.

In this episode we dive into the growing phenomenon of AI fatigue, a sentiment increasingly felt by companies as they navigate the overwhelming number of AI technologies and startups in the market. We discuss the complexities of the AI gold rush, where massive investments and high expectations are met with varying degrees of success and skepticism. The conversation highlights the challenges buyers face in making informed decisions amidst the AI hype and the critical need for selecting the right use cases and vendors to drive real value. We also emphasize the importance of AI literacy and education within organizations to bridge the gap between potential and actual productivity gains.

The episode further explores the economic implications of AI investments, particularly the significant role of AI hardware and chip makers, and the pressure on companies to justify the high costs associated with AI development. As we review strategies for surviving the AI hype cycle, we advocate for a use case-centric approach, urging companies to focus on real business problems rather than pursuing AI for the sake of it. We conclude by reflecting on the balance between innovation and process efficiency, encouraging you to be disciplined in their AI endeavors while remaining open to transformative ideas that could reshape their businesses.

  continue reading

83 episodios

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