Insurance And Finance
For insurance companies it is vital to receive accurate and important information from independent sources, which can then be used to assess the insurance risk of any given asset. Just as for secondary insurance services, evaluation of insured properties is an important factor in avoiding unnecessary additional costs.
In the finance sector, it is extremely important to receive real-time information on what is happening with the assets being analyzed and how they are affected by various events. In addition, it is important to make a global judgment on the research target and identify development trends.
Analysis of natural disasters
EOSDA analytics can be used to quickly analyse the impact of natural disasters, to identify buildings and structures that have been destroyed, and to estimate overall damage. This information can be used for early evaluation of the impact of a disaster on a region’s general infrastructure or insured properties, as well as for research by financial analysts
Insurance of assets
Satellite imagery analytics helps to assess the quality of insured properties in the real estate and industrial sectors. Neural network-based object classification can differentiate between the various elements of infrastructure and evaluate the status of each individual facility and of all the facilities as a whole.
Insurance in agriculture
EOSDA’s capabilities can be used to classify fields of various types of crop and to monitor the stages and quality of crop growth in fields. Our analytics also enables analysis of historical data available in satellite imagery archives, to check the quality of field processing in previous periods. It is also possible to conduct automatic comparative analysis of natural disasters to assess their impact on a specific field.
Global financial analysts
For global financial analysts is it extremely important to receive up-to-date information for rapid decision making.EOSDA enables analysis of images for a whole range of industries – oil & gas, mining, supply chains, real estate and agriculture, making it an invaluable tool for financial analysts.