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June 3rd, 2020
Big data is everywhere and having a major impact on much of the business world, it’s helping companies improve their customer service, products and more but can big data actually help the development of the world?
My colleague James recently wrote about how big data can make supply chains greener, and following on from this I want to take a look at how, and if, big data can save our oceans.
In many circumstances, especially when the Internet of Things (IoT) is involved, sensors play a big part in the collection and analysis of data. In 2015, it was reported that there were 750,000 sensors in the ocean, gathering information worth $5 billion. In the 2 years since they will have surely grown in number.
These sensors are owned by multiple industries, from government to oil, but they are all being used to understand the ocean and protect its natural environment.
In North California a group of marine biologists used sensors to track the marine life that were migrating to a certain spot each year. Through the use of the sensors the biologists were able to understand the animal’s natural instinct to go to this spot each year, by doing this the scientists “were able to reveal that there is a seasonal pulse to the presence of the animals.”, and not just that it gave them the ability to understand the marine ecosystem better, and analyse what would happen if the ocean is “overfished”.
Many ships now also have sensors attached to them, so scientists and marine biologists can understand what affect they have on the movement of the animals, particularly wales. These sensors can also help fishing boats to understand the impact they are having and where it is safest to fish.
Big data is helping to conserve the ocean, it’s helping us to understand the impact humans have on the wildlife. The data that is being collected can only grow and so can the understanding. I’m interested to see how far the data we collect can go, and how it can continue to conserve the natural ocean.
Do you think big data can save the ocean? What other data can we use to understand our world?
This blog was originally published on LinkedIn. To read the original article click here