VORtech Blog


Five Ways to Classify your Digital Twin

Digital twins are the hype of the moment in automation. But the concept is rather ambiguous: people refer to it in many different ways. To bring some order in this confusion, I tried to find a classification of digital twins. It turns out that a single classification is not enough.
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The joy of working with legacy code

At VORtech we mostly work on extending and improving existing code. Let us explain why this is so important and how it works. 
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A FailurePredictor based on machine learning

The FailurePredictor is a concept to make electricity grids more robust and reliable using a combination of expert experience and machine learning.
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An Open Source Platform for Digital Twins?

Digital twins are the hype of the day in industrial technology. Software companies are quick to jump on the band wagon, launching products that fulfil at least part of the functionality that is associated with digital twins. But where is the open source platform that allows collaboration on the development of this concept? The current open source initiatives don't seem to live up to the needs. An initiative on European level would be welcome.
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Mathematical Modelling of Burn Injuries

Burn injuries can have a radical impact on someone’s quality of life. A burn injury in the neck, for example, can cause a contraction that makes it impossible for someone to lift his or her head. Complications such as hypertrophic scars and contractions can occur as the result of burn injuries. In the first-place, hypertrophic scars cause aesthetic problems. In the case of hypertrophy, the scar is thicker and more elevated than normal. The second class of complications, an excessive contraction, often causes reduced mobility of the joint of the patient.
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Pushing finance to a higher level with scientific software engineers (part 2)

Automatic trading, portfolio optimization, and insurance valuation were the topics of the first part of this blog. In this second part, we will further discuss the added value of technical experts in finance. We do this by looking at how credit data can be managed at banks, how algorithms can help to prevent future credit crises, and how data science can provide insights into mortgage loans. These three financial topics are very different at first glance. But they have some common parts: they benefit from a technical engineering solution, through mathematical techniques and scientific software.
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Guidelines for a successful data-science project

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.
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Pushing finance to a higher level with scientific software engineers

Since the credit crisis, banks and insurers have become a lot more cautious. This can be seen from the financial models that are used: they are getting increasingly more ingenious and complex, partly due to new insights and stricter regulations. Risks of products are better assessed, more advanced investment strategies are implemented and more aspects are included in order to assess the financial market more realistically. The tendency is that more and more highly skilled engineers are hired to support this complex matter. These technical experts prove their value in finance. In this blog, we will go into this further based on a number of relevant finance projects that have been carried out at VORtech,.
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How data science initiatives get killed (and why they still need to be done)

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.
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Mathematics in software

Simulation of the world around us by numerical computation has improved a lot in the past decades. Together with Johan Dijkzeul we will look back at this period.
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