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In-Ear Insights: MAICON 2024 Key Takeaways
In this episode of In-Ear Insights, the Trust Insights podcast, Katie and Chris discuss their key takeaways from the Marketing AI Conference (MAICON) 2024. Learn why scaling AI beyond consumer tools like ChatGPT is crucial for businesses looking to leverage its full potential. Discover why process decomposition is essential for successfully integrating AI into your workflow and how it allows you to identify specific tasks where AI can truly shine. Understand the importance of establishing clear business requirements and standard operating procedures before diving headfirst into AI implementation. Gain insights into how to evaluate new AI models as they emerge and learn to differentiate the hype from the practical applications.
Watch the video here:
Can’t see anything? Watch it on YouTube here.
Listen to the audio here:
https://traffic.libsyn.com/inearinsights/tipodcast-maicon-2024-takeaways.mp3
Download the MP3 audio here.
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Machine-Generated Transcript
What follows is an AI-generated transcript. The transcript may contain errors and is not a substitute for listening to the episode.
Christopher S. Penn – 00:00
In this week’s In-Ear Insights, we are back from a week on the road at the Marketing AI Conference in Cleveland, where both Katie and I spoke. Katie spoke on managing the people who manage AI, and I spoke on the importance of open models from a data privacy and business continuity perspective. Plus, we got a chance to hear all sorts of stuff from many different speakers. And on the very last day, two hours before the closing keynote, OpenAI released its new model, Zero One, a new reasoning model. So, there’s no shortage of things to talk about. Katie, when you look back at the whirlwind week that was Marketing AI Conference, what were some of the things that stuck out to you?
Katie Robbert – 00:41
Well, first and foremost, I want to thank the team over at MAICON for doing such an amazing job. Chris, it’s no secret that traveling to conferences isn’t my favorite thing. It’s not my favorite part of the job. However, I will say that the team who puts on MAICON, the team at the Marketing AI Institute, it’s done—and I gave them this feedback—it’s done in such a thoughtful way that it’s hard not to feel comfortable, regardless of your level of social anxiety. They really thought through how to make everybody included in the experience in a way that was going to be comfortable for them. So, I just really want to give them a huge shout-out because they did such a fantastic job.
There was no detail that they didn’t consider, and it really showed that they were really excited to do this for everybody. So, one of the things that I got from the conference was that it was a really nice validation, because sometimes we kind of live in our own little bubble. We forget that there’s other people out there doing similar things, that there’s other people out there talking about the stuff that we talk about—not in a competitive way, but in a peer-to-peer way. And it’s hard for us in the day to get out and see all
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By Trust Insights
5
99 ratings
In this episode of In-Ear Insights, the Trust Insights podcast, Katie and Chris discuss their key takeaways from the Marketing AI Conference (MAICON) 2024. Learn why scaling AI beyond consumer tools like ChatGPT is crucial for businesses looking to leverage its full potential. Discover why process decomposition is essential for successfully integrating AI into your workflow and how it allows you to identify specific tasks where AI can truly shine. Understand the importance of establishing clear business requirements and standard operating procedures before diving headfirst into AI implementation. Gain insights into how to evaluate new AI models as they emerge and learn to differentiate the hype from the practical applications.
Watch the video here:
Can’t see anything? Watch it on YouTube here.
Listen to the audio here:
https://traffic.libsyn.com/inearinsights/tipodcast-maicon-2024-takeaways.mp3
Download the MP3 audio here.
[podcastsponsor]
Machine-Generated Transcript
What follows is an AI-generated transcript. The transcript may contain errors and is not a substitute for listening to the episode.
Christopher S. Penn – 00:00
In this week’s In-Ear Insights, we are back from a week on the road at the Marketing AI Conference in Cleveland, where both Katie and I spoke. Katie spoke on managing the people who manage AI, and I spoke on the importance of open models from a data privacy and business continuity perspective. Plus, we got a chance to hear all sorts of stuff from many different speakers. And on the very last day, two hours before the closing keynote, OpenAI released its new model, Zero One, a new reasoning model. So, there’s no shortage of things to talk about. Katie, when you look back at the whirlwind week that was Marketing AI Conference, what were some of the things that stuck out to you?
Katie Robbert – 00:41
Well, first and foremost, I want to thank the team over at MAICON for doing such an amazing job. Chris, it’s no secret that traveling to conferences isn’t my favorite thing. It’s not my favorite part of the job. However, I will say that the team who puts on MAICON, the team at the Marketing AI Institute, it’s done—and I gave them this feedback—it’s done in such a thoughtful way that it’s hard not to feel comfortable, regardless of your level of social anxiety. They really thought through how to make everybody included in the experience in a way that was going to be comfortable for them. So, I just really want to give them a huge shout-out because they did such a fantastic job.
There was no detail that they didn’t consider, and it really showed that they were really excited to do this for everybody. So, one of the things that I got from the conference was that it was a really nice validation, because sometimes we kind of live in our own little bubble. We forget that there’s other people out there doing similar things, that there’s other people out there talking about the stuff that we talk about—not in a competitive way, but in a peer-to-peer way. And it’s hard for us in the day to get out and see all
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