Mapping of Potential Flooding Disasters

A store's location directly impacts supply, profits, marketing, and almost every other aspect of store performance. Much can be learned from the performance of different types of retail stores in different neighborhoods, countries, or even climate areas. Therefore, retailers use geospatial data machine learning models to plan store locations and predict profits.

Life insurance underwriting is the act of accepting liability under a life insurance policy. Insurers increasingly use machine learning to identify risk categories and recommend policies, faster and more accurately than humans alone. In these times of lockdowns, these programs become especially important as people are more interested in life insurance but may only be reached remotely.

A power grid resilience system monitors the status of a power grid and the threats to its function.

Precision agriculture refers to the management of farms with satellite and other data and technologies. The resulting maps provide highly detailed information about the topology and condition of farms, down to the individual plants. Other common terms for precision agriculture include satellite farming and site-specific crop management.

Smart farming refers to the use of connected technology and artificial intelligence in the field of agriculture. It is also referred to as smart agriculture, agritech, agrotech, or even agro technology. However, the terms agritech and agrotech include the fields of horticulture and aquaculture.

Cities produce large amounts of waste, from litter to sewage; managing this waste is a constant challenge for municipal authorities. Waste management as part of the smart city model involves the use of IoT technology and machine learning to run and to optimize city waste management.