Digital trust

Managing risks and opportunities of increasingly data-driven operations and finding new ways of building trust
Man examining digital infrastructure of a ship

Get insights into what it takes to trust data-driven and digitalized operations in high-risk industries, and where digital technologies, such as blockchain, can introduce new ways of building trust between stakeholders.

Insights: Digital Trust

  • Article
  • Maritime

Sharing economy in the maritime industry

Open Simulation Platform is an ecosystem for collaborative digital twin simulations that will enable virtual exploration of solutions for designing, commissioning, operating and assuring complex, integrated systems.

  • Article
  • Power and renewables

IoT - A new name for an ambition the industry has held for decades

The success of IoT comprises two major elements: the standardization of communication protocols and the quality of data.

  • Article
  • Oil and gas

How DNV GL’s acquisition of a small Norwegian company is changing the risk and consequence software market

In October 2017, DNV GL acquired the small Norwegian company ComputIT and with it the well-established computational fluid dynamics (CFD) code, KFX Exsim. The KFX CFD tool strengthened our market position within the risk and consequence segment. DNV GL now offers a full range of tools for risk assessment and consequence analysis of accidental releases of hydrocarbon or toxic materials, as well as fires. Our risk and reliability and quantitative risk analysis (QRA) software portfolio now ranges from Phast and Safeti, efficient and well-established integral model tools, to the 3D KFX simulator for gas dispersion, fires and explosions.

  • Article
  • Maritime

From cave paintings to analytics - how data is shaping our future

We take a look at the parallels between the history of exploration and production of oil, and of data.

  • Article
  • Maritime

Do you trust your data? The role of assurance in algorithm and model data

In an increasingly automated world where decisions are based on results from models and algorithms, focus on the data fed into these is of paramount importance.

  • Article
  • Other sectors

Data science and machine learning in an industrial context

Entire new economies in consumer markets have been built around data-driven modelling, so we expect that these techniques will have a growing impact on industries in the years ahead.

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