Automated semiotic analysis uses machine learning techniques to analyze large amounts of text and imagery to quantify their underlying semiotic structures. This expands the traditional role of semiotics, which has typically been done by human experts at a small scale. The webinar discusses how automation can help semioticians by enabling them to study far more data than previously possible. It provides examples of using automated analysis to study images and social media posts from various brands to identify patterns in archetypes, values, and universal energies to gain new cultural and brand insights. Semiotic analysis can now be applied at a much larger scale to problems like analyzing websites, marketing material, and media.