Artificial intelligence and machine learning might seem strange partners to waste collection, recycling and management. But as we’ll see, AI for waste is a growing sector. There are companies setting up smart bins, smart dumps and smart cities, aimed at cutting the amount of trash we actually throw away and improving our currently abysmal recycling rates.
The EU is moving its recycling and waste treatment targets beyond waste management. Its goal is to integrate waste streams back into production, as far as possible eliminating the concept of waste altogether and creating a circular economy.
PFAS are a group of chemicals with industrial, commercial and home uses. They’ve been around since the 1930s and started being produced in quantity in the 1950s. Since then they’ve gotten into every corner of our lives, and many processes produce large quantities of PFAS-contaminated waste.
Waste can be broken down into types, based on how the law sees it and how it needs to be processed. Longstanding U.S. laws like 40 CFR part 261.31 define certain types of waste as hazardous. Other regulations define where certain types of waste have to be sent for disposal. Making your way through this maze can be complex, but it doesn’t have to be.
Environmental Health and Safety Managers have a lot on their plates. From developing an organized system for following and complying with environmental regulations, to managing waste and/or reducing the business’ carbon footprint, there are a growing number of data points to keep track of and systems to optimize.
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