Big data and machine learning for prediction of corrosion in pipelines - DNV GL - Software

In this blog post we will look at some of the achievements during a 5-day machine learning hackathon we arranged recently. We were curious about one of the key concepts in our current strategy – could we manage to become a bit more "data smart" on integrity management and maintenance planning on pipelines? We wanted to learn more about the opportunities and maturity level with technologies like big data, machine learning, artificial intelligence and the internet of things. How easy was it to apply and how could it potentially fit into our current product portfolio? In our hackathon, we set up a mixed team of business representatives, experienced developers, data scientists and domain (pipeline) experts.