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AI Innovations Unveiled: A Technical Deep Dive with Cody Schneider, Co-founder of Swell AI & Drafthorse AI. Decoding the Algorithms Behind AI Content Creation & Business Scalability. Episode 1: From Marketing Foundations to Advanced AI Applications.

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Conteúdo fornecido por IBM Big Data & Analytics Hub, IBM Big Data, and Analytics Hub. Todo o conteúdo do podcast, incluindo episódios, gráficos e descrições de podcast, é carregado e fornecido diretamente por IBM Big Data & Analytics Hub, IBM Big Data, and Analytics Hub 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.

Part 1. Getting to know Cody Schneider, co-founder of Swell AI and Drafthorse AI : two AI content creation platforms helping businesses scale content production. Consider this an early stage founder discussion. It starts with Marketing and builds to where AI is being used today.

  • 01:31 Meet Cody Schneider
  • 05:27 Differentiating a 2x4
  • 06:52 Avid Skier
  • 10:41 Early Stage Startups?
  • 13:27 Swell AI
  • 15:00 Differentiation using AI
  • 18:35 Monetization Strategy
  • 21:42 The Billion $ Company of One
  • 24:22 Marking AI Tools
  • 26:30 Foundational Models
  • 27:26 AI Training Affordability

LinkedIn: linkedin.com/in/codyxschneider

Website: https://www.swellai.com/, https://www.drafthorseai.com/

Want to be featured as a guest on Making Data Simple? Reach out to us at almartintalksdata@gmail.com and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

Want to be featured as a guest on Making Data Simple? Reach out to us at almartintalksdata@gmail.com and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

  continue reading

296 episódios

Artwork
iconCompartilhar
 
Manage episode 414293774 series 2715252
Conteúdo fornecido por IBM Big Data & Analytics Hub, IBM Big Data, and Analytics Hub. Todo o conteúdo do podcast, incluindo episódios, gráficos e descrições de podcast, é carregado e fornecido diretamente por IBM Big Data & Analytics Hub, IBM Big Data, and Analytics Hub 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.

Part 1. Getting to know Cody Schneider, co-founder of Swell AI and Drafthorse AI : two AI content creation platforms helping businesses scale content production. Consider this an early stage founder discussion. It starts with Marketing and builds to where AI is being used today.

  • 01:31 Meet Cody Schneider
  • 05:27 Differentiating a 2x4
  • 06:52 Avid Skier
  • 10:41 Early Stage Startups?
  • 13:27 Swell AI
  • 15:00 Differentiation using AI
  • 18:35 Monetization Strategy
  • 21:42 The Billion $ Company of One
  • 24:22 Marking AI Tools
  • 26:30 Foundational Models
  • 27:26 AI Training Affordability

LinkedIn: linkedin.com/in/codyxschneider

Website: https://www.swellai.com/, https://www.drafthorseai.com/

Want to be featured as a guest on Making Data Simple? Reach out to us at almartintalksdata@gmail.com and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

Want to be featured as a guest on Making Data Simple? Reach out to us at almartintalksdata@gmail.com and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

  continue reading

296 episódios

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