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02/09/2020
reading time 4 minutes
At nam.R, we gather publicly available, non-personal data and use our AI tools to build a Digital Twin of France. In that regard, we need a robust and scalable scraping infrastructure. Until recently, we were using Scrapy but, reaching its limits, we started developing our own solution, based on Celery.
reading time 4 minutes
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16/05/2019
reading time 8 minutes
At nam.R we are working hard to build the Digital Twin of France. To this end, we use a lot of sources of information such as aerial images. Extracting useful information from the unstructured data that are images? Sounds like a job for the computer vision team!
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reading time 5 minutes
There is no secret that when dealing with aerial images the best state-of-the-art results are achieved with deep learning models which come at the cost of their complexity. At the same time thanks to the Open Data, we can explore in a creative way even the most sophisticated techniques.
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14/05/2019
reading time 7 minutes
Private and public open data, social network data, private data platforms... The web is an infinite source of external data. It comes in a variety of formats: data tables, geolocated data, APIs, images and text. How can organisations take advantage of all the value to be gained from big data processing?
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22/11/2018
reading time 3 minutes
Data Job 2018 event news
nam.R was present at the last edition of Data Job 2018 at the Carrousel du Louvre, a trade fair dedicated to the recruitment of profiles specialised in artificial intelligence and data. Back to this event full of discussions and meetings.
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about nam.R

nam.R is a data & deep-tech company, specialized in geolocated intelligence, building a digital representation of the physical world. nam.R aims at providing easy-to-use and actionable data to public and private organisations to massify and optimise their actions, investments and projects. 

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