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Contenido proporcionado por Dan Deppen. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Dan Deppen o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.
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#89: Applying Artificial Intelligence to Note Investing, with Alex Goldovsky

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Manage episode 415409347 series 2641900
Contenido proporcionado por Dan Deppen. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Dan Deppen o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.

Alex Goldovsky joined the podcast to discuss his role as a CEO in three companies focused on improving real estate market efficiency, with a particular emphasis on AI technologies and blockchain potential. We explored the application of machine learning and computer vision in document analysis, the potential of automation in data extraction, and the implementation of a fee extractor in their loan file system. The conversation also touches on the challenges and opportunities in entrepreneurship, the importance of human input in AI technologies, and the potential for further developments in real estate technology.

Alex's companies:

PROTITLE USA: https://protitleusa.com/

DOCSOLUTIONUSA: https://docsolution.com/

ONE DILIGENCE: https://onediligence.com/

Ready to dive in and work with Dan to accelerate your note investing journey?

SMALL GROUP LIVE COACHING: https://www.fusionnotes.com/livetraining

PREMIUM CONTENT: Get a roadmap that shows you a step-by-step path for being a note investor, https://fusionnotes.ac-page.com/gameplan

NOTE INVESTING ONLINE COURSES: https://www.fusionnotes.com/courses/

DAN'S LINKS FOR PODCAST LISTENERS: https:www.fusionnotes.com/listeners

Get the 5 FREE steps to buying your first note and sign up for the email newsletter:https://fusionnotes.ac-page.com/newsletter-signup-page-podcast

WEBSITE: https://fusionnotes.com

  continue reading

102 episodios

Artwork
iconCompartir
 
Manage episode 415409347 series 2641900
Contenido proporcionado por Dan Deppen. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Dan Deppen o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.

Alex Goldovsky joined the podcast to discuss his role as a CEO in three companies focused on improving real estate market efficiency, with a particular emphasis on AI technologies and blockchain potential. We explored the application of machine learning and computer vision in document analysis, the potential of automation in data extraction, and the implementation of a fee extractor in their loan file system. The conversation also touches on the challenges and opportunities in entrepreneurship, the importance of human input in AI technologies, and the potential for further developments in real estate technology.

Alex's companies:

PROTITLE USA: https://protitleusa.com/

DOCSOLUTIONUSA: https://docsolution.com/

ONE DILIGENCE: https://onediligence.com/

Ready to dive in and work with Dan to accelerate your note investing journey?

SMALL GROUP LIVE COACHING: https://www.fusionnotes.com/livetraining

PREMIUM CONTENT: Get a roadmap that shows you a step-by-step path for being a note investor, https://fusionnotes.ac-page.com/gameplan

NOTE INVESTING ONLINE COURSES: https://www.fusionnotes.com/courses/

DAN'S LINKS FOR PODCAST LISTENERS: https:www.fusionnotes.com/listeners

Get the 5 FREE steps to buying your first note and sign up for the email newsletter:https://fusionnotes.ac-page.com/newsletter-signup-page-podcast

WEBSITE: https://fusionnotes.com

  continue reading

102 episodios

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