Overcoming a sea of data with Microsoft Azure

Leentje Chavatte
Read Time, 1 min.  

With 12,000 ships certified, DNV GL’s job of ensuring they’re built safely and remain safe should be overwhelming, especially with the more than 50,000 inspections it must carry out each year. However, by making use of machine learning algorithms in Microsoft Azure, the company is not only increasing efficiency and satisfying its customers, but it’s growing its business too. A Microsoft company from top to bottom, DNV GL has begun digitally transforming its business by automating key processes.

Satisfied customers through unified data

By combining large amounts of new and historical data from customers and inspectors and combining it with machine learning algorithms and the power of Microsoft Azure, DNV GL is able to keep its promises to customers and enhance operational efficiency.

The transformative effect of machine learning

From routing technical customer queries to the right experts in mere seconds to matching complex diagrams with the corresponding documents, automation and machine learning are transforming the way DNV GL operates, from the office to its surveyors in the field.

Machine learning means it takes just a split second to route an email. We are able to scale up and promise our customers an answer within four hours and spend four hours on the answer, not lose two hours getting the mail through.

Kristian Ramsrud, Machine Learning Team Lead, Maritime Production Systems, DNV GL

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