OI-01 – Using Mobile, IoT and Data Analytics to Take a Localized Approach to the Global Waste Problem
Managing and correctly disposing of or recycling the world's waste is a problem that has reached critical levels. By utilizing mobile, IoT and predictive analytics, the companies charged with disposing and recycling everyday waste are taking a more pro-active approach to the problem. They are also getting customers more involved in the process and building electronic bridges that connect smart trash receptacles, trucks, and landfills in a conservation network that can eventually lead to a cleaner planet. This presentation will outline the techniques and some of the innovative pilot projects launched by a major U.S. waste management company as it combines emerging technology with sustainability best practices to preserve the world for future generations.
AuditoriumManaging and correctly disposing of or recycling the world's waste is a problem that has reached critical levels. By utilizing mobile, IoT and predictive analytics, the companies charged with disposing and recycling everyday waste are taking a more pro-active approach to the problem. They are also getting customers more involved in the process and building electronic bridges that connect smart trash receptacles, trucks, and landfills in a conservation network that can eventually lead to a cleaner planet. This presentation will outline the techniques and some of the innovative pilot projects launched by a major U.S. waste management company as it combines emerging technology with sustainability best practices to preserve the world for future generations.
