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FOMO Should Not Be a Metric of Your AI Project

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Manage episode 407584715 series 129763
Content provided by Ricardo Viana Vargas. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Ricardo Viana Vargas or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

In this podcast, Ricardo discusses the importance of implementing AI projects with metrics, cautioning against the fear of missing out (FOMO) as a driving force. He draws attention to the high expenses of AI, especially those related to hiring qualified personnel and purchasing processing power. To analyze possible time and cost savings, Ricardo suggests using simulations to help businesses properly weigh the costs and advantages. Especially for enterprise-level AI projects, he recommends scaling up after doing small pilots to determine efficacy. Ultimately, Ricardo encourages listeners to consider the financial implications and benefits before jumping into AI initiatives based only on market trends.

Listen to the podcast to know more.

  continue reading

690 episodes

Artwork
iconShare
 
Manage episode 407584715 series 129763
Content provided by Ricardo Viana Vargas. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Ricardo Viana Vargas or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

In this podcast, Ricardo discusses the importance of implementing AI projects with metrics, cautioning against the fear of missing out (FOMO) as a driving force. He draws attention to the high expenses of AI, especially those related to hiring qualified personnel and purchasing processing power. To analyze possible time and cost savings, Ricardo suggests using simulations to help businesses properly weigh the costs and advantages. Especially for enterprise-level AI projects, he recommends scaling up after doing small pilots to determine efficacy. Ultimately, Ricardo encourages listeners to consider the financial implications and benefits before jumping into AI initiatives based only on market trends.

Listen to the podcast to know more.

  continue reading

690 episodes

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