What happened? Natural disasters have caused catastrophic damage to humans and infrastructure around the world for centuries. Finding a way to reduce this impact has been a key focus for governments, scientists and researchers. It looks like we may have found a promising way forward: detecting natural disasters with IoT, sea-floor sensors, artificial intelligence, and machine learning.
Why is this important? Early detection and warning systems for natural disasters can help save many human lives, protect infrastructure, and reduce economic damage. For example, in 2017 Hurricane Harvey caused $125 billion in damage in the United States. If a similar hurricane was detected early enough, people could evacuate before it made landfall, which would undoubtedly save lives.
This is just the beginning. As we continue to develop sensors, AI, and IoT technology, we will be able to detect more types of natural disasters and predict them with even more accuracy. In the future, we may be able to use this technology not only to predict weather events but also earthquakes, volcanoes, and tsunamis. The potential applications are endless.
What do you think? Are you in favor of using sensors, AI, and IoT to predict natural disasters? Do you think this technology will be able to help reduce the damage caused by these events? Let us know in the comments below.
Author: Christian Kromme
First Appeared On: Disruptive Inspiration Daily
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Christian is a futurist and trendwatcher who speaks about the impact of exponential technologies like AI on organizations, people, and talents. Christian tailors his presentations to your audience's specific industries and needs.
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