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Government CIO Outlook | Monday, November 01, 2021
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IoT sensors developed especially to detect certain ground movement types can assist in identifying smaller earth movements and warn about a potential earthquake.
FREMONT, CA: The world has witnessed many instances of what an unexpected disaster can do. From extensive human loss to economic turmoil, it can be a painful experience. Many experts today believe that Artificial Intelligence (AI) can play a crucial role in anticipating and, in due course containing even the worst disasters. The following are two ways AI can help;
Anticipating the Chaos
In the case of Covid19, AI can be programmed to extract social media data, public health data, news reports, and search engines to track reports of illnesses or amplified queries relating to symptoms. This information can then be used with hospital admissions data to monitor disease spread and elevate the alarm when a predefined density is reached. AI solutions can also raise warnings if individuals from an infected region are traveling into new territory.
The same method works in predicting natural disasters such as earthquakes. In this case, too, the massive shockwaves often come after several warning signs. IoT sensors developed especially to detect certain ground movement types can assist in identifying smaller earth movements and warn about a potential earthquake.
Preparing the Populace
Once the disaster strikes, the following step is to ensure everyone is up to date and knows what to do. In this case, AI solutions can be vital. AI, working in conjunction with other technologies like mobile and IoT, expands the reach and provides faster response at reduced costs. In addition, the systems can send out alerts and news to keep everyone in the know and offer the essential digital resources to understand what is required.
For example, collaborations between AI platforms and telecom providers give an affordable, accessible way to alert people about earthquakes and tsunamis.
AI can also fill gaps in presented disaster alert systems. An exceptional example is the U.S. emergency alert system, which depends on a cellphone or radio broadcast and frequently fails to reach people in the buildings. Some technology companies are looking into the likelihood of employing AI to examine CCTV footage in real-time to verify the potential for disasters, like earthquakes and sounding alarms within buildings.
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