How do you approach an investigation? How do you deal with large amounts of data? How do you know which questions to ask and which evidence may hold the answers? As defenders, we will reflect on the strengths and success of human analysis. We will also speak to the appeal of further leveraging the strengths of computers. This talk will compare our cognitive abilities and where it intersects with the introduction of Machine Learning, AI, and neural networks. We will share our limited understanding of years working with human analysts, of time learning and working with systems related to Data Science and how we perceive a gap will remain.