Automated retail, exemplified by the Amazon Go store prototype in Seattle, is catalyzing a strong industry push toward creating pop-up selling units endowed with convenient “Just Walk Out” technology. Similarly, the advertising industry is rushing to craft data-driven campaigns that harness real-time data to capture sentiment during live events. Both trends leverage recent progress in computer vision, deep learning and sensor fusion that are the same technologies at work in self-driving cars.
While data has its virtues and helps marketers develop insights about “what people are thinking,” emotions still guide the shoppers’ final choice. How can marketers reconcile a creative approach that leverages in-house design talent and enchants shoppers, with the powerful tools offered by deep learning and data? During this presentation, attendees will learn about:
Internal processes and culture that help interdisciplinary teams create activation campaigns and experiential spaces that are both smart and beautiful
Probabilistic thinking methods that allow project stakeholders to blend human observations about the quality of an experience with data
How Sensing Places has used computer vision, deep learning and sensor fusion to create compelling personalized augmented reality experiences, showrooms and activations