Machine Learning
Machine Learning In Location Intelligence Technology
Almost everyone today uses some form of Machine Learning unintentionally

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Did you know?

2.7 Zettabytes

of data exists in the digital universe today
1 Zettabyte = 1.000.000.000 Terabytes

20%–35%

of operative revenue is lost by
businesses due to poor data

Arthur Samuel, an American pioneer in the field of computer gaming and artificial intelligence, coined the term "Machine Learning" in 1959 while at IBM. He defined it as the field of study that gives computers the ability to learn without being explicitly programmed.

Why do we need Machine Learning?

We live in a dynamically changing world feeding a constant stream of structured and unstructured data to unlimited volumes of data storage. If you combine this to computer power and expertise required from people and organisations, the need for machine learning is inevitable.

Hexagon Geospatial, the leading provider of geospatial technology, has been dabbling with machine learning. Their aim is to make this concept available in practice for any geospatial professional.

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Machine Learning’ is a buzzword increasingly used in the location-intelligence domain. You may ask what makes machine learning important and relevant now? The answer simply is ‘data’.

Wim Bozelie
Technology Director at IMAGEM

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