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Kordel France, CEO of Seekar Technologies, discusses the importance of AI explainability and how Seekar's AI helps radiologists detect COVID
Kordel France taught himself to code to automate his Calculus homework. He was inspired by seeing robot tractors on the family farm. Not the conventional background for a high-tech CEO. Kordel and Seekar have turned a passion for AI and machine learning into novel applications in fields as diverse as medicine, law, and professional sports. The best parts of this conversation are when Kordel describes what it means to practice responsible AI. A heads up for investor-types: Seekar is a hot company in a hot space and will soon be raising a series A. Contact Kordel for details.
Listen and learn...
- How to instrument explainability into AI algorithms and create a culture where algorithm developers are required to explain how their algorithms work
- Best practices for monitoring AI model accuracy to know when re-training is required
- The challenges and opportunities of putting AI models at the edge of the network
- How AI is making radiologists better at detecting medical conditions like COVID... and why AI won't replace human experts any time soon
Episodes and companies mentioned:
- Philippe Cases, Topic Networks CEO, on AI and the Future of Work
- Deryk van Brunt, CredibleMind CEO, on AI and the Future of Work
- Seekar Technologies
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By Dan Turchin
4.9
3030 ratings
Kordel France taught himself to code to automate his Calculus homework. He was inspired by seeing robot tractors on the family farm. Not the conventional background for a high-tech CEO. Kordel and Seekar have turned a passion for AI and machine learning into novel applications in fields as diverse as medicine, law, and professional sports. The best parts of this conversation are when Kordel describes what it means to practice responsible AI. A heads up for investor-types: Seekar is a hot company in a hot space and will soon be raising a series A. Contact Kordel for details.
Listen and learn...
- How to instrument explainability into AI algorithms and create a culture where algorithm developers are required to explain how their algorithms work
- Best practices for monitoring AI model accuracy to know when re-training is required
- The challenges and opportunities of putting AI models at the edge of the network
- How AI is making radiologists better at detecting medical conditions like COVID... and why AI won't replace human experts any time soon
Episodes and companies mentioned:
- Philippe Cases, Topic Networks CEO, on AI and the Future of Work
- Deryk van Brunt, CredibleMind CEO, on AI and the Future of Work
- Seekar Technologies
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