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Machine Learning

The launch of ChatGPT made the world aware that Machine Learning will fundamentally change the way we live and work. The field of computing and simulation will be no exception. But it’s not just ChatGPT: there are other innovations from machine learning that are bringing exciting changes for computing. In this blog, we’ll explore the potential of this new technology.

How can machine learning be used to optimize production processes with data from machines? And how to approach this? This whitepaper offers a step-by-step plan.

The FailurePredictor is a concept to make electricity grids more robust and reliable using a combination of expert experience and machine learning.

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.

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 March 14, 2017, the second edition of the Internet of Things event took place in Rotterdam. VORtech was one of the partners of this event.

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

This year the Study Group Mathematics with Industry took place in Amsterdam, from January 23 till 27. Bas van ‘t Hof and Jok Tang, two of VORtech’s mathematical consultants, attended the SWI this year.

VORtech was present at the Big Data Expo 2016 in the Utrecht Jaarbeurs on September 21 and 22, 2016.