Many of us think about machine learning and AI as a way for an audience to get information: We ask ChatGPT a question and it provides the answer. Here we explore machine learning as a way to get information about an audience — both audience segments/personas and individuals within these groups. We also discuss the limitations and data privacy concerns that distinguish what we "could" know from what we "should" discover. And it turns out machine learning is not just a tool for mining he external environment, but also a way to make sense of a company's internal data to discover hidden experts and resources within the company.
Many of us think about machine learning and AI as a way for an audience to get information: We ask ChatGPT a question and it provides the answer. Here we explore machine learning as a way to get information about an audience — both audience segments/personas and individuals within these groups. We also discuss the limitations and data privacy concerns that distinguish what we "could" know from what we "should" discover. And it turns out machine learning is not just a tool for mining he external environment, but also a way to make sense of a company's internal data to discover hidden experts and resources within the company.