The more specific a piece of data, the less useful it is in forecasting. This is a maxim of predictive analytics. Predicting audience behaviors based on the year they were born is useful. Predicting audience behaviors based on individuals’ exact birthdays is not useful. Which is why, in OpenAI’s newest paper on hallucination in generative…
Summary In today's episode, I explain how to prioritize AI use cases by focusing on revenue-generating activities. Here's what this means for you. You can secure stakeholder approval and funding more easily by demonstrating direct financial impact. You'll also learn these concepts: why revenue-focused tasks beat simple optimization, how to use a two-by-two grid for…
How good is your product market fit? Do you have service options for every tier of customer? As the economy grows more uncertain and forecasting the quarter or year ahead becomes more difficult, one of the simplest bulwarks against revenue uncertainty is making sure you have products or services that fit every budget level. If…
Summary In today's episode, I explain how to integrate generative AI with various analytics tools beyond Google Analytics. Here's what this means for you. You can harness the power of any data source with an API to automate your insights and decision-making. You'll also learn these concepts: why generative AI struggles with direct math, how…
Summary In today's episode, I explain why the best marketing agents are the ones you build personally rather than those you purchase from others. Here's what this means for you. You gain a lasting strategic advantage by creating custom tools that reflect your unique business processes and data. You'll also learn these concepts: the three-level…
The more I use AI the more open source I become Everyone’s got a service to pay for Look at the foundations. People love the lumascapes of all the companies in a space, made most famous by Scott Brinker’s MarTech landscape. But when I look at the AI specific ones, I see something different: wrappers…
Summary In today's episode, I explain how marketing leaders should communicate their AI usage to cross-functional stakeholders. Here's what this means for you. You learn to shift your focus from technological implementation to driving actual business results. You'll also learn these concepts: how to avoid AI distractions, why stakeholders prioritize revenue over tools, and how…
