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The Realities of AI in Sensitive Sectors: Insights from Sam Gobrail

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Manage episode 467269796 series 3575092
Content provided by Alexandre Nevski. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Alexandre Nevski 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.

🚀 Can generative AI be trusted in fields where precision is non-negotiable?

From law to finance to healthcare, the difference between 95 percent accuracy and 100 can make or break careers. In this episode of Innovation Tales, host Alexandre Nevski sits down with digital expert Sam Gobrail to explore the real-world challenges of deploying AI in risk-averse environments.

💡 Key Takeaways

  • AI works best for repeatable, structured tasks, not complex decision-making.
  • Adoption must be gradual, strategic, and human-centered.
  • Leaders need to invest in AI education and oversight—not just tools.
  continue reading

23 episodes

Artwork
iconShare
 
Manage episode 467269796 series 3575092
Content provided by Alexandre Nevski. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Alexandre Nevski 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.

🚀 Can generative AI be trusted in fields where precision is non-negotiable?

From law to finance to healthcare, the difference between 95 percent accuracy and 100 can make or break careers. In this episode of Innovation Tales, host Alexandre Nevski sits down with digital expert Sam Gobrail to explore the real-world challenges of deploying AI in risk-averse environments.

💡 Key Takeaways

  • AI works best for repeatable, structured tasks, not complex decision-making.
  • Adoption must be gradual, strategic, and human-centered.
  • Leaders need to invest in AI education and oversight—not just tools.
  continue reading

23 episodes

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