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GEOINT 2024 - Kolena | Mohamed Elgendy

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Manage episode 421484815 series 3234430
Project Geospatial에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Project Geospatial 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.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 에피소드

Artwork
icon공유
 
Manage episode 421484815 series 3234430
Project Geospatial에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Project Geospatial 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.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 에피소드

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