Artwork

Contenuto fornito da Tamas Hevizi and Arpad Hevizi, Tamas Hevizi, and Arpad Hevizi. Tutti i contenuti dei podcast, inclusi episodi, grafica e descrizioni dei podcast, vengono caricati e forniti direttamente da Tamas Hevizi and Arpad Hevizi, Tamas Hevizi, and Arpad Hevizi o dal partner della piattaforma podcast. Se ritieni che qualcuno stia utilizzando la tua opera protetta da copyright senza la tua autorizzazione, puoi seguire la procedura descritta qui https://it.player.fm/legal.
Player FM - App Podcast
Vai offline con l'app Player FM !

AI Fatigue

21:25
 
Condividi
 

Manage episode 434292249 series 2889059
Contenuto fornito da Tamas Hevizi and Arpad Hevizi, Tamas Hevizi, and Arpad Hevizi. Tutti i contenuti dei podcast, inclusi episodi, grafica e descrizioni dei podcast, vengono caricati e forniti direttamente da Tamas Hevizi and Arpad Hevizi, Tamas Hevizi, and Arpad Hevizi o dal partner della piattaforma podcast. Se ritieni che qualcuno stia utilizzando la tua opera protetta da copyright senza la tua autorizzazione, puoi seguire la procedura descritta qui https://it.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 episodi

Artwork
iconCondividi
 
Manage episode 434292249 series 2889059
Contenuto fornito da Tamas Hevizi and Arpad Hevizi, Tamas Hevizi, and Arpad Hevizi. Tutti i contenuti dei podcast, inclusi episodi, grafica e descrizioni dei podcast, vengono caricati e forniti direttamente da Tamas Hevizi and Arpad Hevizi, Tamas Hevizi, and Arpad Hevizi o dal partner della piattaforma podcast. Se ritieni che qualcuno stia utilizzando la tua opera protetta da copyright senza la tua autorizzazione, puoi seguire la procedura descritta qui https://it.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 episodi

Alle episoder

×
 
Loading …

Benvenuto su Player FM!

Player FM ricerca sul web podcast di alta qualità che tu possa goderti adesso. È la migliore app di podcast e funziona su Android, iPhone e web. Registrati per sincronizzare le iscrizioni su tutti i tuoi dispositivi.

 

Guida rapida