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Building AI-driven Hedge Fund Infrastructure with Jakub Polec

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Manage episode 497892848 series 2922369
Inhalt bereitgestellt von Kashif Manzoor. Alle Podcast-Inhalte, einschließlich Episoden, Grafiken und Podcast-Beschreibungen, werden direkt von Kashif Manzoor oder seinem Podcast-Plattformpartner hochgeladen und bereitgestellt. Wenn Sie glauben, dass jemand Ihr urheberrechtlich geschütztes Werk ohne Ihre Erlaubnis nutzt, können Sie dem hier beschriebenen Verfahren folgen https://de.player.fm/legal.

In this conversation, Jakub shares his insights on the evolution of AI in finance, emphasizing the importance of specialized AI agents and the need for a robust infrastructure. He discusses his transition from corporate life to entrepreneurship, highlighting the challenges and rewards of building a startup. Jakub also offers practical advice on team dynamics, customer acquisition, and learning AI, stressing the significance of being customer-obsessed and the need for continuous learning and adaptation in the fast-paced tech landscape.

Episode # 160

Today’s Guest: Jakub Polec, Head of Quant, AI/ML Research Manager for Systematic Strategies, Quant Journey

He has over 23 years of experience in IT and finance, excelling in regional leadership roles at Oracle, Microsoft, France Telecom, T-Mobile, and in hedge funds. He combines a strong scientific background from the University of Warsaw and CERN with deep tech expertise. As an entrepreneur, he has successfully launched, scaled, and exited ventures in AI/ML, MLOps, NLP, and e-commerce.

What Listeners Will Learn:

  • AI in finance requires specialized agents for better results.
  • Building a business around AI is more about organization than technology.
  • Startup teams should balance experience with passion.
  • Customer obsession is key to success in any business.
  • Bootstrapping can lead to faster product development.
  • Learning AI should be practical and application-focused.
  • Engaging with the community can enhance learning.
  • AI can automate many tasks traditionally done by humans.
  • Effective leadership inspires and empowers teams.
  • The landscape of technology is rapidly changing, making it easier to innovate.
Resources:
  continue reading

167 Episoden

Artwork
iconTeilen
 
Manage episode 497892848 series 2922369
Inhalt bereitgestellt von Kashif Manzoor. Alle Podcast-Inhalte, einschließlich Episoden, Grafiken und Podcast-Beschreibungen, werden direkt von Kashif Manzoor oder seinem Podcast-Plattformpartner hochgeladen und bereitgestellt. Wenn Sie glauben, dass jemand Ihr urheberrechtlich geschütztes Werk ohne Ihre Erlaubnis nutzt, können Sie dem hier beschriebenen Verfahren folgen https://de.player.fm/legal.

In this conversation, Jakub shares his insights on the evolution of AI in finance, emphasizing the importance of specialized AI agents and the need for a robust infrastructure. He discusses his transition from corporate life to entrepreneurship, highlighting the challenges and rewards of building a startup. Jakub also offers practical advice on team dynamics, customer acquisition, and learning AI, stressing the significance of being customer-obsessed and the need for continuous learning and adaptation in the fast-paced tech landscape.

Episode # 160

Today’s Guest: Jakub Polec, Head of Quant, AI/ML Research Manager for Systematic Strategies, Quant Journey

He has over 23 years of experience in IT and finance, excelling in regional leadership roles at Oracle, Microsoft, France Telecom, T-Mobile, and in hedge funds. He combines a strong scientific background from the University of Warsaw and CERN with deep tech expertise. As an entrepreneur, he has successfully launched, scaled, and exited ventures in AI/ML, MLOps, NLP, and e-commerce.

What Listeners Will Learn:

  • AI in finance requires specialized agents for better results.
  • Building a business around AI is more about organization than technology.
  • Startup teams should balance experience with passion.
  • Customer obsession is key to success in any business.
  • Bootstrapping can lead to faster product development.
  • Learning AI should be practical and application-focused.
  • Engaging with the community can enhance learning.
  • AI can automate many tasks traditionally done by humans.
  • Effective leadership inspires and empowers teams.
  • The landscape of technology is rapidly changing, making it easier to innovate.
Resources:
  continue reading

167 Episoden

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