Systems Engineering for Machine Learning

Machine Learning development has until now been a fairly experimental endeavour. By applying Systems Engineering practices, for example by defining its development lifecycle, it can be brought closer to traditional engineering disciplines.

From Guessing to Knowing: How to Become Data Driven

Have you ever been told that something has been decided but not why? Have you seen initiatives being launched that later just disappeared without a trace? Or have you maybe experienced taking decisions based on incomplete information yourself, but never knew if they were right or wrong?

Fly me to the moon

Reflections on the book “Failure is not an option”, the inside story of what went on in Mission Control at NASA

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