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Conteúdo fornecido por Mark Fleming-Williams. Todo o conteúdo do podcast, incluindo episódios, gráficos e descrições de podcast, é carregado e fornecido diretamente por Mark Fleming-Williams 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.
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The 2nd Abraham Thomas Episode

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Manage episode 443691566 series 2983047
Conteúdo fornecido por Mark Fleming-Williams. Todo o conteúdo do podcast, incluindo episódios, gráficos e descrições de podcast, é carregado e fornecido diretamente por Mark Fleming-Williams 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.

In this episode I am delighted to welcome back Abraham Thomas, the co-founder of Quandl and now angel investor and haver of interesting thoughts.

In our conversation, we dig into the varios impacts of AI and LLMs specifically on the alternative data and hedge fund worlds, exploring the winners, losers and potential futures that might come out of this technological breakthrough.

Separately, I will be speaking at the Quant Strats event in London this Tuesday so do say hi if you happen to be there too.


DISCLAIMER

This podcast is an edited recording of an interview with Abraham Thomas recorded in October 2024. The views and opinions expressed in this interview are those of Abraham Thomas and Mark Fleming-Williams and do not necessarily reflect the official policy or position of either CFM or any of its affiliates. The information provided herein is general information only and does not constitute investment or other advice. Any statements regarding market events, future events or other similar statements constitute only subjective views, are based upon expectations or beliefs, involve inherent risks and uncertainties and should therefore not be relied on. Future evidence and actual results could differ materially from those set forth, contemplated by or underlying these statements. In light of these risks and uncertainties, there can be no assurance that these statements are or will prove to be accurate or complete in any way.


Hosted on Acast. See acast.com/privacy for more information.

  continue reading

136 episódios

Artwork
iconCompartilhar
 
Manage episode 443691566 series 2983047
Conteúdo fornecido por Mark Fleming-Williams. Todo o conteúdo do podcast, incluindo episódios, gráficos e descrições de podcast, é carregado e fornecido diretamente por Mark Fleming-Williams 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.

In this episode I am delighted to welcome back Abraham Thomas, the co-founder of Quandl and now angel investor and haver of interesting thoughts.

In our conversation, we dig into the varios impacts of AI and LLMs specifically on the alternative data and hedge fund worlds, exploring the winners, losers and potential futures that might come out of this technological breakthrough.

Separately, I will be speaking at the Quant Strats event in London this Tuesday so do say hi if you happen to be there too.


DISCLAIMER

This podcast is an edited recording of an interview with Abraham Thomas recorded in October 2024. The views and opinions expressed in this interview are those of Abraham Thomas and Mark Fleming-Williams and do not necessarily reflect the official policy or position of either CFM or any of its affiliates. The information provided herein is general information only and does not constitute investment or other advice. Any statements regarding market events, future events or other similar statements constitute only subjective views, are based upon expectations or beliefs, involve inherent risks and uncertainties and should therefore not be relied on. Future evidence and actual results could differ materially from those set forth, contemplated by or underlying these statements. In light of these risks and uncertainties, there can be no assurance that these statements are or will prove to be accurate or complete in any way.


Hosted on Acast. See acast.com/privacy for more information.

  continue reading

136 episódios

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