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Dan Turchin에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Dan Turchin 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.
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310: Dr. Zohar Bronfman, CEO of Pecan AI, on AI’s True Limits, Ethics, and the Edge of Human vs. Artificial Intelligence

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Manage episode 449591468 series 2986762
Dan Turchin에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Dan Turchin 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.

Dr. Zohar Bronfman is the co-founder and CEO of Pecan AI, a company transforming predictive analytics with conversational AI to deliver rapid insights from custom data. Under his leadership, Pecan has raised approximately $120 million from investors, including Insight Partners and GV (Google Ventures). Dr. Bronfman holds two PhDs from Tel Aviv University in computational neuroscience and philosophy of science, has published 18 scientific papers, and has taught at the university level. A former member of the IDF's elite 8200 intelligence unit, he combines technical expertise with a clear vision for both the present and future of AI.

In this conversation, we discuss:

  • Dr. Zohar Bronfman’s journey from academia to becoming CEO of Pecan AI and the insights he gained along the way.
  • The challenges companies face in leveraging machine learning and predictive analytics effectively in business contexts.
  • Dr. Bronfman’s perspective on the differences between human intelligence and artificial neural networks, including the limitations of current AI models.
  • Why Dr. Bronfman believes AI development should focus on enhancing human productivity rather than replicating human intelligence.
  • The ethical implications of AI technology, including the role of regulation in preventing misuse of advanced predictive tools.
  • The importance of curiosity and continuous learning, both in academic and business environments, to drive innovation in AI.

Resources

Subscribe to the AI & The Future of Work Newsletter

Connect with Dr. Zohar Bronfman

AI fun fact article

On the social implications of AI

  continue reading

250 에피소드

Artwork
icon공유
 
Manage episode 449591468 series 2986762
Dan Turchin에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Dan Turchin 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.

Dr. Zohar Bronfman is the co-founder and CEO of Pecan AI, a company transforming predictive analytics with conversational AI to deliver rapid insights from custom data. Under his leadership, Pecan has raised approximately $120 million from investors, including Insight Partners and GV (Google Ventures). Dr. Bronfman holds two PhDs from Tel Aviv University in computational neuroscience and philosophy of science, has published 18 scientific papers, and has taught at the university level. A former member of the IDF's elite 8200 intelligence unit, he combines technical expertise with a clear vision for both the present and future of AI.

In this conversation, we discuss:

  • Dr. Zohar Bronfman’s journey from academia to becoming CEO of Pecan AI and the insights he gained along the way.
  • The challenges companies face in leveraging machine learning and predictive analytics effectively in business contexts.
  • Dr. Bronfman’s perspective on the differences between human intelligence and artificial neural networks, including the limitations of current AI models.
  • Why Dr. Bronfman believes AI development should focus on enhancing human productivity rather than replicating human intelligence.
  • The ethical implications of AI technology, including the role of regulation in preventing misuse of advanced predictive tools.
  • The importance of curiosity and continuous learning, both in academic and business environments, to drive innovation in AI.

Resources

Subscribe to the AI & The Future of Work Newsletter

Connect with Dr. Zohar Bronfman

AI fun fact article

On the social implications of AI

  continue reading

250 에피소드

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