In this week’s In-Ear Insights, Katie and Chris talk through marketing mix modeling. What is marketing mix modeling? Why should we care about it? How does it work? You’ll learn the difference between marketing mix modeling (sometimes called media mix modeling) and attribution modeling. Tune in to find out more! [podcastsponsor] Watch the video here: […]
Read More… from In-Ear Insights: What is Marketing Mix Modeling?
In this week’s In-Ear Insights, Katie and Chris talk through a half dozen practical use cases of ChatGPT, why they work, and what you can do to make generative AI tools more useful and powerful in your own work. [podcastsponsor] Watch the video here: Can’t see anything? Watch it on YouTube here. Listen to the […]
Read More… from In-Ear Insights: Practical Use Cases of ChatGPT
In this week’s In-Ear Insights, Katie and Chris talk through how to improve your prompt engineering for large language models like ChatGPT, GPT-4, and other services through the use of the software development lifecycle. Learn how to apply the SDLC to your individual work with AI tools, and why it’s so important. [podcastsponsor] Watch the […]
In this episode, Katie and Chris discuss the evolution of SEO and where it’s going, where AI and machine learning fit in, and what trends to be aware of as you create content and optimize it for search in 2023. Tune in to learn more! [podcastsponsor] Watch the video here: Can’t see anything? Watch it […]
Read More… from {PODCAST} In-Ear Insights: Do I Need To Be an SEO Expert in 2023?
In this fireside chat with attorney Ruth Carter, we dig into how copyright law applies to content created by artificial intelligence. Who owns these fabulous works of art generated by systems and models like OpenAI’s DALL-E or Stability.ai’s Stable Diffusion? What about blog content created by tools like GoCharlie or Copy.ai? Watch the interview on […]
Read More… from AI and Copyright Law: How Copyright Applies to AI-Generated Content
In this week’s In-Ear Insights, Katie and Chris discuss whether AI and machine learning will imperil the career of the data scientist. What is data science, and how much of it can be automated and handled by machines? Tune in to find out. [podcastsponsor] Watch the video here: Can’t see anything? Watch it on YouTube […]
Read More… from {PODCAST} In-Ear Insights: Will AI Wipe Out Data Science Jobs?
In this episode, Katie and Chris discuss the different levels of complexity when it comes to AI and machine learning in marketing. What’s the difference between AI and data science, and when should you focus on one or the other? What cautionary tales should marketers understand before positioning a product as powered by AI? Do […]
Read More… from {PODCAST} In-Ear Insights: Simple and Complex AI in Marketing
In this week’s In-Ear Insights, Katie and Chris talk about the newest advances in natural language generation and walk through an example of what’s available now for creating content with the assistance of AI. Watch the demonstration, listen to the implications for marketers, and start formulating your AI-based content marketing strategy. Tune in to find […]
In this episode of In-Ear Insights, Katie and Chris dig into the announcements around Google’s newly announced AI model for advanced search, Google MUM, or the multitask unified model. Learn what Google MUM is, why it should matter to content producers, and how to think about adapting your content strategy to deal with what could […]
Read More… from {PODCAST} In-Ear Insights: Google MUM, SEO, and Content Strategy
In this week’s In-Ear Insights, Katie and Chris discuss shiny object syndrome, blind spots in your marketing technology (especially around AI and machine learning) and how arrogance can lead to substantial technical problems in your tech stack and company culture. How can you avoid pitfalls and blind spots? How do you manage AI and machine […]
Read More… from {PODCAST} In-Ear Insights: Shiny Object Syndrome and Tech Arrogance
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