A recent study by Weather Analytics points, adverse weather changes affect more than 33 percent of the world 's GDP and affect many industries. To deal with these problems, new technologies such as Big Data and predictive analytics are needed, which can predict any changes in the weather. We are listing some of the companies which are deploying these technologies.
DataKind is a non- profit organization that brings together voluntary data scientists and organizations with no knowledge or resources to benefit from data science. In one of their projects, they worked with the Global Disaster Reduction and Recovery Facility( GFDRR) of the World Bank and established a framework for the use of satellite image analysis and neural networks to help relieve disasters. In addition to mapping the home range and geolocating the activities of the monkeys, volunteers from DataKind set up an app( Tinder for monkeys) to train to crowdsource data for a machine learning algorithm to estimate the population size of the monkeys.
Earthrise media use artificial intelligence to generate local climate change and environmental degradation stories from the abundance of satellite images available.
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Ecolibrium company through sensors and its cloud-based software system– called Smart Sense – gathers data to find energy inefficiencies at various stages of the production line in industries and suggests solutions to tackle power wastage.
Trase platform, which aims to bring transparency to global supply chains, using publicly available data to map in detail the links between consumer countries via trading companies to the places of production. They are using existing data such as customs records and trade contracts, tax registration data, production data, and shipping data, Trase pieces together a bigger picture of how exports are linked to agricultural conditions (including specific environmental and social risks) in the places where they are produced. Trase enables companies, governments, and others to understand the risks better and identify opportunities for more sustainable production.
Big data and analytics are redefining governments ' climate change policies. Big data appears to be a key component of climate policy. Big data technology has been able to process enormous volumes of complex climate data, establish correlations when required and provide real-time analytics. Almost all the tools mentioned above were capable of delivering data in real time. Big data can only do so much, however. After all the data presented, the stakeholders are responsible for taking concrete action.