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- Edit this `README.md` markdown file to author your organization card πŸ”₯
 
 
 
 
 
 
 
 
 
 
 
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+ # Predictia Intelligent Data Solutions S.L.
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+ ### A spin-off company with over 15 years of experience
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+ [Predictia](https://predictia.es/en) emerged in 2008 as a spin-off company from the data mining group at the University of Cantabria. Our aim is to offer [data management and modelling solutions](https://predictia.es/en/projects) for in scientific challenges, specially those linked to climate and health. We are specialised in data handling and storage, access and visualization, and nonstandard machine learning techniques, which enables us to extract relevant information for a specific problem. Our solutions are usually web-based (including development of portals to access data and/or online data machine learning algorithms), to provide user-friendly, ready-to-use solutions.
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+ ![Diagram](./esquema_en.png)
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+ In the last decades we have move from a data scarcity culture to a data abundance one. Satellite technologies, open access records and publicly available databases have made it possible to have an amount of data at the tip of our hands that was unimaginable only 20 years ago.
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+ However, data alone are not useful. They need to be treated to become actionable information. Our team of mathematicians, developers, engineers and physicists are used to handle terabytes/petabytes of data to distill the valuable insights and interconnections hidden within.