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How to Manage the Insane Volatility of AI Projects

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Manage episode 442811975 series 2946379
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://ppacc.player.fm/legal.

In this episode, Ricardo discusses the volatility of AI projects. He explains that AI projects face volatility due to rapid technological advancements, constant changes in API connections, and their experimental nature. Regulatory and ethical considerations evolve daily, creating uncertainty about legal and public perceptions. Talent shortages compound the challenge, with expertise in high demand and high turnover rates. To manage this volatility, Ricardo suggests adopting agile methods, allowing for flexibility and faster iteration; investing in robust data management to handle large amounts of data and ensure quality; and finally, building multidisciplinary teams that can adapt to evolving AI technologies and collaborate across technical and non-technical areas for long-term success.

Listen to the podcast to learn more.

  continue reading

727 episodes

Artwork
iconShare
 
Manage episode 442811975 series 2946379
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://ppacc.player.fm/legal.

In this episode, Ricardo discusses the volatility of AI projects. He explains that AI projects face volatility due to rapid technological advancements, constant changes in API connections, and their experimental nature. Regulatory and ethical considerations evolve daily, creating uncertainty about legal and public perceptions. Talent shortages compound the challenge, with expertise in high demand and high turnover rates. To manage this volatility, Ricardo suggests adopting agile methods, allowing for flexibility and faster iteration; investing in robust data management to handle large amounts of data and ensure quality; and finally, building multidisciplinary teams that can adapt to evolving AI technologies and collaborate across technical and non-technical areas for long-term success.

Listen to the podcast to learn more.

  continue reading

727 episodes

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