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Machine learning

Machine learning can help solve some of the most important risk challenges the world faces, such as securing global soil and water resources, reducing inequalities and improving education. Artificial intelligence and empirical data make computers able to learn and develop specific behaviours as well as handling large amounts of data. Machine learning is one of the major technology trends right now and creates new opportunities for problem solving.

You can read this article in Norwegian here.

This is machine learning

Machine learning is a branch of artificial intelligence that combines informatics, mathematics and calculation-oriented statistics. Machine learning is techniques that help us handle large amounts of data intelligently. Using designs and algorithms, computers become able to learn from, and develop behaviour based on, empirical data. Among other things, machine learning can be used in:

  • Decision support systems
  • Data mining
  • Voice recognition
  • Automatic vehicle guidance

Although machine learning is not really a new technology, it's one of the major technology trends right now. By bringing the old technology to its full potential, we open up new and exciting opportunities for data analysis and problem solving. Active use of machine learning can help streamline risk management by anticipating events and outcomes.

In the health sector, for example, we can arrange data for digital analyses and apply statistics and machine learning. Thus, precision medicine can provide a far more targeted and effective treatment of individuals. This was just one of the main conclusions of the Global Opportunity Report from 2017. The report also shows how global business is committed to finding activities that promote the UN's sustainability goals. The main findings in the report were:

  • Smart water technology is perceived as the biggest market opportunity
  • Providing e-learning to conflict-restricted areas is the second largest opportunity, also enabling business to contribute and disseminate knowledge and create more peaceful communities
  • Increasing confidence that digital technology such as machine learning and blockchain technology can help combat global risk such as cyber crimes and increasing inequality
  • Consensus that increasing inequality is the greatest risk

Machine learning at DNV

It is demanding to handle large amounts of data, which senior researcher René Castberg in DNV has experienced. Based on the desire to exploit existing data in new and future-oriented ways, Castberg has been a key player in the development of DNV's new digital industrial platform Veracity. This platform will exploit big data to its full potential, which can help the maritime sector, the energy industry, and other sectors to increase profitability without compromising safety and the environment.

"The goal is to utilize existing data in better ways. This platform can change everything," says Castberg.

DNV is a world leader in the global energy sector, and for us to stay on top, it is important that we use machine learning and all the possibilities it brings. We have huge amounts of data, and only machine learning can make full use of them.

In the summer of 2018, we have eight master students working on a project with us. They will among other things work with big data, machine learning and artificial intelligence.

Who are we?

DNV is a global leader in consulting, testing and certification in the global energy sector. We provide classification and technical reliability analysis along with software and independent expert advice to the maritime sector, the oil and gas sector, energy companies, and others.

One of our most important tasks is to balance business needs with the needs of society in the best possible way. DNV operates in more than 100 countries, and our dedicated professionals help customers make the world safer, smarter and greener. Read more about us here.

Make a career in machine learning

At DNV, we are always looking for new candidates to help us remain at the forefront of technology and sustainability. We recruit both experienced professionals and graduates, because we believe in combining experience with new technology. Young and sharp heads are good at pondering new ideas and finding solutions, and using technology that can develop renewable and sustainable societies. Machine learning plays a key role in this development.

We want to attract and develop young professionals for a global career with DNV, and we offer several exciting trainee programs. In addition, we highlight a variety of summer jobs every year, for bachelor students and for master students in the fourth year. We are looking for young graduates in the maritime sector, the oil and gas sector, energy, corporate governance and digital solutions, as well as IT, finance and HR.

Together we can solve today's challenges and find tomorrow's opportunities, creating communities that are safer, smarter and greener. Read more about what we are doing on our career pages.

Read these interesting articles regarding DNV and our work

The text is available in both English and Norwegian.


Risk Management




Renewable energy


Fornybar energi


Machine learning




Summer jobs for engineers


Sommerjobb for ingeniører


Cyber security


Software development