Slips, Trips and Falls: Proactive Care through Predictive Analytics

Overview

Each year one in three individuals over the age of seventy-five will experience a fall. In 40% of cases, the fall is followed by painful and costly medical treatments and even death.  Mining information sources to anticipate and mitigate fall risk delivers significant humanitarian and financial benefit, but the semantic technologies that enable this type of predictive analysis are relatively new.

Anne Lapkin, SVP for Global Strategy will share how the power of semantics, NLP and graph analytics  allowed one agency to reduce fall incidents by 87%. She will also discuss how organizations in all industries are beginning to apply the same technologies to competitive, investigative and anticipatory analysis, gaining new insights and increased operational efficiency.