What Is the Future of Emergency Prevention? Exploring the challenges of relying on artificial intelligence in Environment, Health and Safety management.
By John Castner Edited by Michael Dolan
Opinions expressed by Entrepreneur contributors are their own.
Artificial intelligence (AI) is everywhere. Embedded into our everyday lives, from our ridesharing apps to the algorithms on our social media channels, AI has the potential to revolutionize every industry. However, there are a number of challenges that many technologies still need to overcome before they can actually implement AI — and that's especially the case in the risk management industry.
Today, companies across every industry rely on environment, health and safety (EHS) procedures to promote a safer and more compliant workplace. Essential to companies' risk management strategies, EHS programs are commonly used to help companies avoid unwanted events. Many hope that AI can help them understand how EHS events are impacting their bottom line. However, to date, predicting the complex root cause of an unwanted event has been difficult, if not impossible.
For businesses to truly leverage the power of AI in EHS platforms, they first need to ensure they have the infrastructure in place to implement integrated risk management data strategies. These must extend across each business unit to clearly understand the risk factors that could cause an incident. Through a comprehensive view of their risk environment, businesses can better leverage EHS platforms and move closer to utilizing AI to predict unwanted events.
Related: How To Use Artificial Intelligence To Boost Your Small Business
Going back to the basics of EHS management
The rest of this article is locked.
Join Entrepreneur+ today for access.
Already have an account? Sign In