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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.
By Ricardo Viana Vargas4.5
3939 ratings
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.

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