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Høglund And DNV GL Join Forces To Improve Data Generation And Sharing In Industry

Last Updated December 19, 2019

Høglund And DNV GL Join Forces To Improve Data Generation And Sharing In Industry 1

A Memorandum of Understanding (MoU) has been signed by Høglund Marine Solutions and DNV GL in order to help in the generation and export of big data from ships.

This measure will help in better digitalization of the marine sector by offering opportunity to Høglund for the development of their expertise in automation and systems and DNV GL an opportunity to improve their classification services.

“The digital transformation of shipping is finally happening and opens the door to many long-sought-after advantages and necessary progress”, says Børge Nova, CEO of Høglund Marine Solutions.

“For many years, Høglund has pointed to the lack of consistency in ship specifications on how important data shall be made available for all stakeholders. By combining Høglund’s expertise in how to create, standardize and export data through a vessel’s integrated automation systems with DNV GL’s industry knowledge and independent role we can provide owners and operators with a more accurate overview of a ship’s performance and compliance with regulations.”

The complexity of the vessels are increasing and large amounts of data is also generated. The ship owners and operators can take improved decisions about the operating costs, reliability, efficiency and safety of the ships by combining high quality data and methods that are seamless to reach and analyze. The marine sector still has a long way to go before it can take complete advantage of all the performance data. In order to do so, the industry needs to enhance data collection, exportation and use and to get experience from various fields for collaboration.

Jon Rysst, Senior Vice President and Business Development Leader, of DNV GL remarked: “We are very excited to enter into this partnership with Høglund. Data is already the fuel that is driving the transformation of many other industries, often as a result of collaborations between different fields of expertise. For DNV GL, this cooperation represents an opportunity to harness the power of data to improve our classification services and to develop added services based on our independent role.”

 

Reference: DNV GL

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