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Machine Learning

In recent years, we were fortunate to work on many different data-science projects for our customers. But from experience I know that the most important success factor of such a pilot project is not in using the most advanced algorithm, but instead, how the project is designed.

Current advances in data science open up a lot of new opportunities to leverage data. Companies learn to leverage their data to improve business processes and products. When implementing new data science projects, unexpected problems may appear.

On Thursday February 23, 2017, VORtech hosted our first Meetup on Data Science: "Data Science in Industry"

What if you are, say, an engineering company with loads of experience in building complex installations but without any data science background. Where do you start?

Data analytics for is a powerful tool for utilities to predict future demand and improve business-to-customer communication.

Are we indeed witnessing the end of traditional mathematical modelling and should its practitioners be looking for a new job?