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Thoughts & Observations

Thoughts & Observations

著者: Kai Hattendorf
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A weekly AI generated audio version of Kai Hattendorf's "Thoughts & Observations" newsletter.

Subscribe to the newsletter here: https://www.linkedin.com/build-relation/newsletter-follow?entityUrn=7281653665436717058

© 2025 Thoughts & Observations
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  • Association Events: The Pressure To Change
    2025/05/14

    Can associations - essentially "part-time event organisers" - keep up with the pace of change in event design?

    Also: Eurovision delivers a timely follow-up case study to last week's topic here. And some key industry news.

    This podcast is based on Kai Hattendorf's newsletter - you can subscribe to it here: https://www.linkedin.com/newsletters/7281653665436717058

    This is an experiment - this podcast is auto-generated by AI using NotebookLM. Any interpretation of the original newsletter content is done by the platform.

    続きを読む 一部表示
    14 分
  • Going Gaga on the Copacabana
    2025/05/07

    Destinations bet big to hit the right note - with pop and rock stars. Is it "A Sky Full of Stars" for destination management, or rather a "Definitely Maybe"? We'll have a look this week.

    This podcast is based on Kai Hattendorf's newsletter - you can subscribe to it here: https://www.linkedin.com/newsletters/7281653665436717058

    This is an experiment - this podcast is auto-generated by AI using NotebookLM. Any interpretation of the original newsletter content is done by the platform.

    続きを読む 一部表示
    12 分
  • Beware the Marketing Uber Hype
    2025/04/30

    This week, two surveys are showing the impact that new U.S. policies are having on business events in the U.S. and where planners are looking for solutions.

    Some news about an advisor role that I am taking on. And: Can we please stop "uber hyping" events?

    This podcast is based on Kai Hattendorf's newsletter - you can subscribe to it here: https://www.linkedin.com/newsletters/7281653665436717058

    This is an experiment - this podcast is auto-generated by AI using NotebookLM. Any interpretation of the original newsletter content is done by the platform.

    続きを読む 一部表示
    9 分

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