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314: Mike Schuster, Two Sigma AI Leader and Google Translate Pioneer, On AI in Finance, Data Challenges, Collaboration, and Future Trends

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Conteúdo fornecido por Dan Turchin. Todo o conteúdo do podcast, incluindo episódios, gráficos e descrições de podcast, é carregado e fornecido diretamente por Dan Turchin ou por seu parceiro de plataforma de podcast. Se você acredita que alguém está usando seu trabalho protegido por direitos autorais sem sua permissão, siga o processo descrito aqui https://pt.player.fm/legal.

Dr. Mike Schuster is the head of the AI Core team at Two Sigma, where he leads engineers and quantitative researchers in advancing AI technologies across the firm's investment strategies and internal efficiencies. With over 25 years of expertise in machine learning and deep learning, Mike has been at the forefront of AI trends in tech and finance. Prior to Two Sigma, he spent 12 years at Google, contributing to transformative projects like Google Translate as part of the Google Brain team. Dr. Schuster holds a PhD in Electrical Engineering from the Nara Institute of Science and Technology in Japan and is recognized as a pioneer whose work has significantly shaped the AI landscape.

In this conversation, we discuss:

  • The challenges and importance of building collaborative teams for complex AI systems in finance.
  • Key differences between developing AI technologies in tech companies like Google versus finance firms like Two Sigma.
  • The evolution of neural networks and their transformative impact on applications like Google Translate.
  • The ethical considerations and risks of using AI in finance compared to other industries.
  • Insights into data quality challenges and strategies for addressing bias in financial modeling.
  • Predictions for the future of AI, focusing on efficiency, data quality, and practical advancements over the next five years.

Resources:

Subscribe to the AI & The Future of Work Newsletter

Connect with Mike Schuster

AI fun fact article

Episode on how AI is diagnosing and treating sleep disorders

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255 episódios

Artwork
iconCompartilhar
 
Manage episode 455801870 series 2986762
Conteúdo fornecido por Dan Turchin. Todo o conteúdo do podcast, incluindo episódios, gráficos e descrições de podcast, é carregado e fornecido diretamente por Dan Turchin ou por seu parceiro de plataforma de podcast. Se você acredita que alguém está usando seu trabalho protegido por direitos autorais sem sua permissão, siga o processo descrito aqui https://pt.player.fm/legal.

Dr. Mike Schuster is the head of the AI Core team at Two Sigma, where he leads engineers and quantitative researchers in advancing AI technologies across the firm's investment strategies and internal efficiencies. With over 25 years of expertise in machine learning and deep learning, Mike has been at the forefront of AI trends in tech and finance. Prior to Two Sigma, he spent 12 years at Google, contributing to transformative projects like Google Translate as part of the Google Brain team. Dr. Schuster holds a PhD in Electrical Engineering from the Nara Institute of Science and Technology in Japan and is recognized as a pioneer whose work has significantly shaped the AI landscape.

In this conversation, we discuss:

  • The challenges and importance of building collaborative teams for complex AI systems in finance.
  • Key differences between developing AI technologies in tech companies like Google versus finance firms like Two Sigma.
  • The evolution of neural networks and their transformative impact on applications like Google Translate.
  • The ethical considerations and risks of using AI in finance compared to other industries.
  • Insights into data quality challenges and strategies for addressing bias in financial modeling.
  • Predictions for the future of AI, focusing on efficiency, data quality, and practical advancements over the next five years.

Resources:

Subscribe to the AI & The Future of Work Newsletter

Connect with Mike Schuster

AI fun fact article

Episode on how AI is diagnosing and treating sleep disorders

  continue reading

255 episódios

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