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Building Trust in Enterprise AI: A Conversation with Leonid Feinberg of Verax

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Manage episode 431771844 series 73827
Content provided by The Seedcamp Podcast and Carlos Espinal. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by The Seedcamp Podcast and Carlos Espinal 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.
The latest episode of Startups in Focus features Leonid Feinberg, founder of Verax, a Seedcamp-backed company that provides enterprise-grade trust solutions for generative AI. Having a strong background in security and cloud services, including a previous company acquired by Amazon, Leonid shares insights on managing AI-related risks and offers practical advice for future customers regarding AI's potential and trust management. In conversation with our Managing Director Carlos Espinal, he delves into the challenges and solutions associated with deploying generative AI in production. He also explains how Verax's Control Center helps enterprises gain visibility and mitigate risks by analyzing and modifying AI responses in real-time. Furthermore, they discuss the current and future landscape of AI data management, the evolving best practices in AI, and the geopolitical implications of AI. Show Notes: Leonid Feinberg - linkedin.com/in/leonidf Carlos Eduardo Espinal - linkedin.com/in/carloseduardoespinal Verax AI - verax.ai Seedcamp - seedcamp.com Overview: 00:00 Introduction to Today's Guest: Leonid Feinberg, Co-founder and CEO of Verax 00:53 Leonid's Background and Journey to Founding Verax 01:33 Understanding Verax: Enterprise Trust Solution for Generative AI 02:48 Architectural Insights: Rolling Out LLMs in Enterprises 05:02 Challenges and Best Practices in AI Deployment 08:01 Future of AI and Data Management 12:16 Verax's Role in Enterprise AI Trust 18:39 Geopolitics and AI: Global Implications 26:15 Advice for future AI Customers 28:21 Conclusion
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293 episodes

Artwork
iconShare
 
Manage episode 431771844 series 73827
Content provided by The Seedcamp Podcast and Carlos Espinal. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by The Seedcamp Podcast and Carlos Espinal 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.
The latest episode of Startups in Focus features Leonid Feinberg, founder of Verax, a Seedcamp-backed company that provides enterprise-grade trust solutions for generative AI. Having a strong background in security and cloud services, including a previous company acquired by Amazon, Leonid shares insights on managing AI-related risks and offers practical advice for future customers regarding AI's potential and trust management. In conversation with our Managing Director Carlos Espinal, he delves into the challenges and solutions associated with deploying generative AI in production. He also explains how Verax's Control Center helps enterprises gain visibility and mitigate risks by analyzing and modifying AI responses in real-time. Furthermore, they discuss the current and future landscape of AI data management, the evolving best practices in AI, and the geopolitical implications of AI. Show Notes: Leonid Feinberg - linkedin.com/in/leonidf Carlos Eduardo Espinal - linkedin.com/in/carloseduardoespinal Verax AI - verax.ai Seedcamp - seedcamp.com Overview: 00:00 Introduction to Today's Guest: Leonid Feinberg, Co-founder and CEO of Verax 00:53 Leonid's Background and Journey to Founding Verax 01:33 Understanding Verax: Enterprise Trust Solution for Generative AI 02:48 Architectural Insights: Rolling Out LLMs in Enterprises 05:02 Challenges and Best Practices in AI Deployment 08:01 Future of AI and Data Management 12:16 Verax's Role in Enterprise AI Trust 18:39 Geopolitics and AI: Global Implications 26:15 Advice for future AI Customers 28:21 Conclusion
  continue reading

293 episodes

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