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GEOINT 2024 - Kolena | Mohamed Elgendy

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Manage episode 421484815 series 3234430
Content provided by Project Geospatial. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Project Geospatial 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.

Mohamed Elgendy, CEO and founder of Kolena, discusses the challenges of testing and validating AI products before deployment. He highlights the need for a systematic approach to maintain quality and ensure accurate detection of specific scenarios. Mohamed also mentions the upcoming AI quality conference that aims to collaborate with industry leaders and define gold standards for AI quality. 💡 The biggest challenge in building AI products is maintaining quality and ensuring accurate detection of specific scenarios. 💡 Mohamed founded Kolena to address the need for a platform that can test and validate AI models before deployment. 💡 Mohamed shares his background as an AI engineer and writer, discussing his book on computer vision and the research process behind it. 💡 The inception of Kolena came from a demo with the TSA, where a 99% accurate model failed to detect a gun, highlighting the need for rigorous model testing. 💡 Kolena aims to unblock organizations and enterprises in adopting AI technology by providing a safe and rigorous testing platform. 💡 Mohamed discusses future plans to collaborate with regulatory bodies and industry partners to define gold standards for AI quality. For more content like this, check out www.projectgeospatial.com. #AI #QualityAssurance #MachineLearning #Testing #Validation #AIQualityConference

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322 episodes

Artwork
iconShare
 
Manage episode 421484815 series 3234430
Content provided by Project Geospatial. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Project Geospatial 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.

Mohamed Elgendy, CEO and founder of Kolena, discusses the challenges of testing and validating AI products before deployment. He highlights the need for a systematic approach to maintain quality and ensure accurate detection of specific scenarios. Mohamed also mentions the upcoming AI quality conference that aims to collaborate with industry leaders and define gold standards for AI quality. 💡 The biggest challenge in building AI products is maintaining quality and ensuring accurate detection of specific scenarios. 💡 Mohamed founded Kolena to address the need for a platform that can test and validate AI models before deployment. 💡 Mohamed shares his background as an AI engineer and writer, discussing his book on computer vision and the research process behind it. 💡 The inception of Kolena came from a demo with the TSA, where a 99% accurate model failed to detect a gun, highlighting the need for rigorous model testing. 💡 Kolena aims to unblock organizations and enterprises in adopting AI technology by providing a safe and rigorous testing platform. 💡 Mohamed discusses future plans to collaborate with regulatory bodies and industry partners to define gold standards for AI quality. For more content like this, check out www.projectgeospatial.com. #AI #QualityAssurance #MachineLearning #Testing #Validation #AIQualityConference

  continue reading

322 episodes

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