A senior researcher in DNV GL, he joined the global technology group close to three years ago. The 39-year-old has been a key player in developing the company's new digital industrial platform, which has been named ‘Veracity’.
“The goal is to make better use of your data. The platform can be a game changer,” says Castberg.
In short, the platform will trigger the potential of using ‘big data’, thus helping primarily maritime and energy-related industries, but also other sectors, improve profitability without compromising safety or the environment.
Useless big data create false hopes
Ships, oil rigs and wind turbines already produce large amounts of data, and the value of using them is potentially high. However, such datasets come with data quality challenges.
“This became very evident in an assignment we recently conducted for a major international player on two of its drill ships,” says Castberg, who holds a doctorate in physics from the University of Oslo.
“In the datasets we received, not one of the 36 billion available data points were in line with the data quality standard (ISO 8601) – and only 60% of the data could be used.”
Predicting errors and repair needs before they occur
“But by structuring and quality assuring the data, the company could analyze them, connect them with other datasets, and use machine learning to predict errors way before they occurred. The ability to predict errors, thus ensuring more uptime and avoiding repair costs and reduced safety, of course represents great value to many parties.
“The key to triggering the value inherent in all data flows is confidence in data quality and the ability to operate across datasets. This is where we in DNV GL see that we can play a central and independent third-party role,” continues Castberg.
With its independence, DNV GL, in addition to documenting data quality, can facilitate the sharing and aggregation of various industrial datasets for the benefit of all players.
“We do not aim to own data, but give control to, in this case, the drill ship owner, who would otherwise struggle to use the large amounts of data in a rational and profitable manner.”
“It’s a big job to get data and extract them”
The digital industrial platform Veracity will help DNV GL customers improve the quality of their data and handle the safety, ownership, sharing and use of data.
“It’s a big job to get data and extract them in a proper way. That was really how the idea of ‘Veracity’ emerged,” says Castberg.
“Until now, much time has been spent on managing and ‘massaging’ data. In addition, the lack of quality of industrial data is a big barrier to using them. We saw that we could make a package where we could profile data and support quality improvements at data owners, as well as contribute to standardization, safe storage and facilitation of Big Data analysis, thus enabling efficient reuse of data in many applications,” he says.
Currently, only pilot projects are being carried out using this digital industrial platform, but Castberg says that demand exists, no doubt.
“The company who manages data most efficiently will be the winner tomorrow. As a classification player, it is important for us to create tools that can help customers utilize new technology. It improves safety and increases productivity,” says Castberg.
He describes the commitment of DNV GL as ‘significant’.
“It cannot be taken for granted, but strengthens our role as a forward-looking company with the necessary competence to do pioneering work,” he believes.