Attention Modeling for Risk Prediction in Driving

At the heart of JAMM is the AI generating data insights for drivers and insurers (code named Nomi). Interestingly, the technology of Nomi follows two emerging trends in the early 2020s: 1). the cheapening of IOT applications and edge-based computing 2). the spread of automated, data-driven decision-making to new verticals (e.g. insurance). The result is a new insurtech product, JAMM, that yields insights underpinned by AI-derived, driver-road-context, redeemable for insurance savings. In this paper, we go over the essential JAMM AI architecture.