Table of Contents 64q43
Experts have been issuing continuous warnings about the consequences of global temperature rise around the world, which result in a series of natural disasters. To face and mitigate the impacts of these events, the 7Analytics employment artificial intelligence cutting-edge technology to accurately predict the occurrence of events such as floods and landslides. This technology helps companies and governments to prepare more effectively for such situations, allowing the implementation of preventive measures and the reduction of associated damages. 225i6a
Check out more details on the use of artificial intelligence to predict natural disasters below!
The global impact of natural disasters 462qo
In recent years, experts have warned about the consequences of global temperature rise. In addition to bringing several negative impacts, extreme heat is the main cause of natural disasters that have been occurring around the world. According to scientists, if the rise in temperature is not reversed, catastrophes will become increasingly common.
It is important to highlight that there are different types of natural disasters, such as floods and landslides, which affect localities according to their specific characteristics. Therefore, frosts, intense rains and droughts can occur in different parts of the world.
Furthermore, natural disasters directly affect the economy in several ways. For example, torrential rains and extreme droughts can impact food production due to flooding that damages crops or a lack of enough water to sustain them. When the harvest is reduced, the sale of the few items that remain tends to inflate.
Floods can also cause serious problems for companies, industries and factories, affecting the supply of various products due to damage to machinery and equipment, which also results in inflation. In major catastrophes, housing damage is observed, as we have seen recently in Rio Grande do Sul, where several families lost their material possessions, homes and, tragically, loved ones. These families, often of medium or low income, need help to rebuild their lives and return to normality. So know How to donate to help people in the region.
Other sectors of society are also affected by disasters, such as hospitals, schools, squares and roads, which can be damaged by falling trees and water intrusions. In large cities, the problem worsens due to the large number of inhabitants, increasing the number of people affected.
Given these factors, experts emphasize the urgent need to change production, consumption and lifestyle patterns to reduce carbon emissions and, consequently, the planet's temperature. Over time, the energy matrix is migrating to more sustainable forms and companies are being pressured to change their production processes to reduce CO2 emissions. The population can also contribute individually, consuming products from sustainable production that pollute the planet less, as advocated by the Ecological footprint.
Another measure to reduce the effects of natural disasters is to raise awareness about proper waste disposal, avoiding throwing rubbish on the street, especially near rivers and lakes, as this can block the sewage network, making drainage difficult and polluting aquatic biomes, which leads to overflows. These were some of the factors that contributed to the floods in Rio Grande do Sul, for example. To learn more about the causes of the catastrophe in the region, check out why did it rain so much in RS.
Predicting floods and landslides 1t5851
A 7Analytics, based in Bergen, has the ability to train machine learning algorithms with vast amounts of data about natural disasters, analyzing weather, soil and other factors. With this database, the company's artificial intelligence can predict with meter accuracy how these disasters will unfold.
It is worth noting that, in a short period, the company achieved success with its 40 clients, signaling a promising trajectory. Thus, regions susceptible to natural disasters may experience a significant reduction in losses caused by these events and in insurance s, while financial instruments linked to catastrophes may fluctuations resulting from the performance of 7Analytics' predictive tools.
How does 7Analytics AI predict natural disasters? 1y3mp
You must be wondering how the IA to predict natural disasters 7Analytics. Second Jonas Aas Torland, co-founder company, the platform can predict the occurrence of floods in your area of interest and issue alerts 72 hours in advance, allowing the adoption of preventive measures.
To improve your ability to predict natural disasters, startup Norwegian company received funding from €4 million. 7Analytics uses machine learning algorithms, trained on a vast diversity of data, to predict natural disaster movements with metric accuracy.
It is crucial to emphasize that machine learning algorithms are a subset of artificial intelligence that involves training systems to identify patterns in data and make predictions or decisions based on those patterns. At 7Analytics, these algorithms extensively analyze weather data, land use, and other factors to predict the occurrence and behavior of disasters.
Metric-scale forecasting denotes the level of precision that the company's algorithms can achieve in locating disasters. According to 7Analytics, its algorithms are capable of predicting the movement of natural disasters with accuracy within one meter. This accuracy is critical for companies and governments that need to assess catastrophe risk for specific assets.
In light of this, artificial intelligence to predict natural disasters offers significant benefits to companies and governments, enabling risk assessment for individual assets and providing a dedicated platform for insurance, assisting in the analysis of flood damage risks.
Benefits for companies and governments 6e451l
A 7Analytics has become able to accurately tell you how storm water will move through your community. The information is displayed in a dashboard, which is extremely useful for companies and governments. These s can use the platform to assess risks for individual assets such as buildings and roads.
InzureCloud: platform for risk assessment by insurance companies 215q2d
A 7Analytics still developed the platform InzureCloud, designed to be used by insurance companies to assess the risk of flood damage to homes. This feature is especially beneficial for high-risk zones. Through it, insurance companies can obtain detailed information about the potential risks and costs associated with protecting homes in flood-prone areas, which significantly assists in policy pricing and risk management.
The global impact of natural disasters alerts us to the urgency of adopting preventive measures and innovative solutions. So keep following the showmetech to explore more about emerging technologies in the field of artificial intelligence and how they are being applied to prevent and mitigate natural disasters.
See also:
reviewed by Glaucon Vital in 20 / 5 / 24.
