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Conteúdo fornecido por Jerry Cuomo. Todo o conteúdo do podcast, incluindo episódios, gráficos e descrições de podcast, é carregado e fornecido diretamente por Jerry Cuomo 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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CTO Insights: AI's Impact on Advertising

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Conteúdo fornecido por Jerry Cuomo. Todo o conteúdo do podcast, incluindo episódios, gráficos e descrições de podcast, é carregado e fornecido diretamente por Jerry Cuomo 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.

Join host Jerry Cuomo where he sits down with George London, the Chief Technology Officer at Upwave. George shares his unique perspective on the evolving role of AI, exploring the classics and spinning the latest hits in the AI rotation. This episode explores the innovative use of predictive and generative AI models at Upwave, a platform dedicated to enhancing the effectiveness of brand advertising. Tune in to hear George share insights from his role as CTO, drawing on his extensive AI experience with music recommendation systems, hedge fund analysis, and economic forecasting. He discusses the impact of AI on consumer behavior and outlines his strategies for mitigating AI hallucinations.

Key Takeaways:

  1. George London explores how AI improves advertising by personalizing interactions and enhancing brand effectiveness with predictive and generative models.
  2. George's experience music recommendation and hedge fund analysis informs his approach to understanding individual preferences, which is crucial for effective marketing without bias.
  3. George addresses the importance of mitigating AI hallucinations to maintain accuracy in AI-generated content, ensuring the reliability of marketing analytics.

References:

  continue reading

70 episódios

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iconCompartilhar
 

Fetch error

Hmmm there seems to be a problem fetching this series right now. Last successful fetch was on October 02, 2024 12:32 (1M ago)

What now? This series will be checked again in the next day. If you believe it should be working, please verify the publisher's feed link below is valid and includes actual episode links. You can contact support to request the feed be immediately fetched.

Manage episode 422094585 series 2876740
Conteúdo fornecido por Jerry Cuomo. Todo o conteúdo do podcast, incluindo episódios, gráficos e descrições de podcast, é carregado e fornecido diretamente por Jerry Cuomo 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.

Join host Jerry Cuomo where he sits down with George London, the Chief Technology Officer at Upwave. George shares his unique perspective on the evolving role of AI, exploring the classics and spinning the latest hits in the AI rotation. This episode explores the innovative use of predictive and generative AI models at Upwave, a platform dedicated to enhancing the effectiveness of brand advertising. Tune in to hear George share insights from his role as CTO, drawing on his extensive AI experience with music recommendation systems, hedge fund analysis, and economic forecasting. He discusses the impact of AI on consumer behavior and outlines his strategies for mitigating AI hallucinations.

Key Takeaways:

  1. George London explores how AI improves advertising by personalizing interactions and enhancing brand effectiveness with predictive and generative models.
  2. George's experience music recommendation and hedge fund analysis informs his approach to understanding individual preferences, which is crucial for effective marketing without bias.
  3. George addresses the importance of mitigating AI hallucinations to maintain accuracy in AI-generated content, ensuring the reliability of marketing analytics.

References:

  continue reading

70 episódios

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