• Tom Riordan on Artificial Intelligence

  • 2024/06/10
  • 再生時間: 30 分
  • ポッドキャスト

Tom Riordan on Artificial Intelligence

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  • Tom Riordan, CEO of WordPower, discusses his journey from ad tech to AI and offers insights on how businesses can start using AI tools. He emphasizes the importance of self-awareness and understanding where you are on the AI journey. Riordan suggests starting with low-hanging fruit use cases like copywriting and analytics. He highlights the power of AI in automating tasks and streamlining workflows. Riordan also mentions the false starts and challenges that businesses may face when adopting AI solutions. Tom discusses the practical use of analytics and AI tools for mid-sized agencies and brands. He emphasizes the importance of understanding data privacy and compliance regulations before using AI platforms. Tom also highlights the value of AI in analyzing complex data sets and generating insights that humans may struggle to uncover. He gives an example of using AI to perform audience cluster analysis on television viewership data. Tom suggests that AI can be used to simplify and streamline tasks, especially with the availability of low-code or no-code AI tools. He also discusses the challenges faced by the marketing and advertising industry, including the need to focus on creating impactful ads and the limitations of measuring campaign success. Tom shares his excitement about the changing landscape of work and the potential for AI to transform industries.

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あらすじ・解説

Tom Riordan, CEO of WordPower, discusses his journey from ad tech to AI and offers insights on how businesses can start using AI tools. He emphasizes the importance of self-awareness and understanding where you are on the AI journey. Riordan suggests starting with low-hanging fruit use cases like copywriting and analytics. He highlights the power of AI in automating tasks and streamlining workflows. Riordan also mentions the false starts and challenges that businesses may face when adopting AI solutions. Tom discusses the practical use of analytics and AI tools for mid-sized agencies and brands. He emphasizes the importance of understanding data privacy and compliance regulations before using AI platforms. Tom also highlights the value of AI in analyzing complex data sets and generating insights that humans may struggle to uncover. He gives an example of using AI to perform audience cluster analysis on television viewership data. Tom suggests that AI can be used to simplify and streamline tasks, especially with the availability of low-code or no-code AI tools. He also discusses the challenges faced by the marketing and advertising industry, including the need to focus on creating impactful ads and the limitations of measuring campaign success. Tom shares his excitement about the changing landscape of work and the potential for AI to transform industries.

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