In this episode #9 of our Tip&Cue videos, we take a look at sites of particular strategic interest: refugee camps. By monitoring their activity, intelligence experts gather valuable information on the evolution of the geopolitical situation in an area.

"Building demand for AI is one thing. Getting militaries to adopt it is entirely another.

A lot of countries are pushing the AI narrative, but they’re struggling to move from concept to deployment, says Arnaud Guérin, the CEO of Preligens, a French startup that sells AI surveillance.
That’s partly because the defense industry in most countries is still usually dominated by a clutch of large contractors, which tend to have more expertise in military hardware than AI software, he says.
[…]

Read the full article written by Melissa Heikkilä for the MIT Technology Review.

The term Big Data refers to the combination of mass, structured, semi-structured and unstructured data that are characterised by the three V's rule: data of great variety, coming in ever larger volumes and with greater velocity. More recently, several other "V's" have been added to various descriptions of big data, including veracity, value and variability.

These complex datasets, mostly from new sources, are a wealth of new information for those who manage to exploit them. Big Data is now essential in machine learning, predictive modelling and other advanced analytical applications as well as Artificial Intelligence solutions .

This big data is so large that traditional data processing software simply cannot handle it. But with state-of-the-art software, these large volumes of data can be used to solve problems that have never been solved before.

In Machine Learning, the data on which to train the algorithms is key to obtaining good performance.

In some fields, databases already exist in open source, but in the case of Preligens, we have created a proprietary database, which now includes more than 9 million objects and which specifically meets the use cases we address (Defence and Intelligence).

In this Medium article, Thomas Sitbon, Head of GIS at Preligens, explains how to find and collect geospatial data simply and automatically and how to enrich their description to help train the algorithms.

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About Preligens

Preligens was created in 2016 by two engineers, Arnaud Guérin and Renaud Allioux, on the belief that intelligence professionals would never be able to cope with the tsunami of data made available by the huge investments made in sensors. They came up with the idea of using artificial intelligence (AI) to automate the analysis of this multi-sourced data and tip and cue analysts to unusual events requiring their expertise.

Based in Paris and present in 5 countries, Preligens employs 200 people, mostly scientists who form the largest AI team for Defence in Europe. The performance and accuracy of Preligens' solutions, which are internationally recognized and proven in the field, enable its users in the defence sector to be quickly enlightened about complex situations.

Pioneering AI solutions for a safer world.

To contact us: [email protected]