In this week’s In-Ear Insights, Christopher Penn and Katie Robbert discuss B2B influencer marketing, which is becoming more prominent in the B2B marketing space. B2B influencer marketing is an endorsement where a B2B marketer uses their influence to endorse a product or service because of the reputation they have. Unlike B2C, B2B influencer marketing is […]
Read More… from In-Ear Insights: What Is B2B Influencer Marketing?
In this week’s In-Ear Insights, Katie and Chris answer the big question that people are afraid to ask for fear of looking silly: what IS a large language model? Learn what an LLM is, why LLMs like GPT-4 can do what they do, and how to use them best. Tune in to learn more! [podcastsponsor] […]
Read More… from In-Ear Insights: What Is A Large Language Model?
In this week’s In-Ear Insights, Christopher Penn and Katie Robbert discuss the impact of artificial intelligence (AI) on jobs. They explore whether generative AI will take over jobs, especially for junior members of an organization. They discuss the aspects of jobs that AI can and cannot replace, such as repetitive tasks versus human creativity and […]
In this week’s In-Ear Insights, Katie and Chris discuss generative AI, one of the three major branches of artificial intelligence. This includes tools like ChatGPT, Google Bard, and Microsoft Copilot. They start by defining artificial intelligence and the three big categories within it: regression, classification, and generation. Generative AI makes things and allows people to […]
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 week’s In-Ear Insights, Katie and Chris tackle an audience question: “Any general advice to simplify data explanations for decision makers who can’t follow a complex explanation (which always sounds like you are trying to cover for something)?” We look at what makes an explanation difficult or complex, and how to emotionally involve stakeholders […]
Read More… from In-Ear Insights: Data Storytelling and Complex Explanations
In this week’s In-Ear Insights, Katie and Chris talk about social media listening. What is it, and why does it sometimes fall very short of expectations? Learn what social media listening tools can and can’t do out of the box, and why expertise is mandatory to pair with even the best tools on the market. […]
In this week’s In-Ear Insights, Katie and Chris discuss how to set up a testing plan for measuring ChatGPT and whether it is working for you or not. From time savings to risk mitigation, think about the different ways large language models could be improving your business, then develop a measurement plan to see if […]
Read More… from In-Ear Insights: Measuring ChatGPT Performance
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