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Welcome to our blog - the place where we share everything analytics, big data, and machine learning.

Why Is Retraining So Important

When we help customers use their data by utilizing machine learning we sometimes get asked “why is re-training important?”. This is natural as in software development when the code works you should let it be, if it aint broke don’t fix it?

Machine learning formula

Data Leakage and how to avoid it

In this blog post we are talking about something that in machine learning is called data leakage. Please, do not misunderstand it as the leakage of data to the public.
Data leakage in machine learning is when using a feature for predicting the output, that at the time of prediction cannot be available. In many cases, the feature holds information about the value we are trying to predict.

Image of code on a computer with glasses in front

Correlation is not Causation

Reduce energy consumption in your household, and you will live longer”.
This could be a headline in your favorite tabloid. People have a tendency to see a correlation between two values, and determines immediately that there is causality. But would you really live longer without energy in your household?

Picture of correlation.

Condition-Based Maintenance vs Predictive Maintenance

We are often asked to explain the difference between Condition-Based Maintenance and Predictive Maintenance. This blog post will give you a comprehensive understanding of the similarities and differences between Condition-Based Maintenance and Predictive Maintenance.

Illustration of a bolt and nut.

Introduction to Machine Learning and Artificial Intelligence

Artificial Intelligence. The word itself says something about what it does. It tries to create an intelligence, artificially. But how? What exactly is it? Can it improve your everyday life? Can it improve businesses? What is Machine Learning in this picture?

Picture of a robot.

Strategy Towards Data

With the introduction to big data and later industry 4.0, an increased focus has arisen on the usage of data in the industry. Even though industry 4.0 still rises confusion to what exactly it is and what it is not, one thing we can agree on is that it involves data.

Picture of innovation.