This data was originally featured in the July 26, 2023 newsletter found here: https://www.trustinsights.ai/blog/2023/07/inbox-insights-july-26-2023-agency-ai-readiness-ai-podcast-guests/. In this week’s Data Diaries, in celebration both of the ubiquity of the Barbie movie and the endless torrent of news about artificial intelligence, we wanted to bring those two threads together. There are, as one might imagine, a number of […]
In this episode of In-Ear Insights, the Trust Insights podcast, Katie and Chris discuss takeaways from the recent Marketing AI Conference, MAICON 2023. We talk about the growth of the event, Chris’s generative AI keynote, and share highlights from other speakers on AI regulation, ethics, and impact on jobs. We debate whether agile development processes […]
Read More… from In-Ear Insights: Marketing AI Conference 2023 In Review
Since its release in November 2022, ChatGPT has been lauded as a groundbreaking AI chatbot. However, recent research indicates its capabilities may be declining over time. In this episode of the Trust Insights podcast In-Ear Insights, hosts Christopher Penn and Katie Robbert ask the question: is ChatGPT getting dumber? They discuss findings that ChatGPT appears […]
In this episode of In-Ear Insights, the Trust Insights podcast, Katie Robbert and Christopher Penn tackle a common workplace challenge – how to keep teams focused on priorities instead of getting distracted by drama or interpersonal issues. As Katie explains, acknowledging that some level of gossip or emotional venting will happen is key. Trying to […]
Read More… from In-Ear Insights: Workplace Communication and Productivity
In this episode of In-Ear Insights, the Trust Insights podcast, Katie and Chris discuss the latest buzz in the social media marketing sphere: Threads. Threads is a Twitter clone built on the Instagram database and architecture. It has experienced rapid growth, surpassing 100 million users in just a few days. Katie shares her frustration with […]
In this episode of In-Ear Insights, the Trust Insights podcast, Katie and Chris discuss the limitations of data science skills. They explore the various aspects of data science and what it truly means to be a data scientist. They touch upon the importance of understanding the scientific method and how it applies to data science. […]
Read More… from In-Ear Insights: Limitations of Data Science Skills
In this episode of In-Ear Insights, the Trust Insights podcast, Katie and Chris discuss the challenge of marketing products and services that are considered boring or mundane. They emphasize the importance of identifying the right audience for such products and reframing the marketing approach to make it more appealing to that specific audience. They provide […]
Read More… from In-Ear Insights: How to Market Boring Products
In this episode of In-Ear Insights, the Trust Insights podcast, Katie and Chris discuss the age-old question of whether to buy or build marketing technology. They explore various aspects of this decision, including business strategy, in-house skills, regulatory requirements, long-term considerations, and the value of owning versus renting. They also touch on the growing importance […]
Read More… from In-Ear Insights: Buy Or Build Marketing Technology?
In this week’s In-Ear Insights, Katie and Chris discuss the six dimensions of expertise, and what constitutes someone being an expert or not. Learn what the 6 dimensions are and whether or not someone should be considered an expert. [podcastsponsor] Watch the video here: Can’t see anything? Watch it on YouTube here. Listen to the […]
Read More… from In-Ear Insights: In-Ear Insights: What Qualifies Someone As An Expert?
In this week’s In-Ear Insights, Katie and Chris review marketing mix modeling, media mixed modeling, and whether Tiktok’s Marketing Mix Modeling study has any insights marketers can learn from. Tune in to find out more! [podcastsponsor] Watch the video here: Can’t see anything? Watch it on YouTube here. Listen to the audio here: Download the […]
Read More… from In-Ear Insights: Tiktok and Marketing Mix Modeling
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