Built with our proven technology, the Industrial Work Surface is already delivering measurable value.
Kongsberg Digital technology is relied on by 30% of real-time drilling operation centers worldwide for the supermajors.
Kongsberg Digital helps digitally transform up to 15 assets annually for the world’s largest oil and gas companies.
The Industrial Work Surface enables users to instantly see where there will be conflicts with simultaneous operations.
Explore new ways of working with our tailor-made industrial solution templates. Unlock your potential with industry-leading solutions designed to help you enhance workflows, take charge of operations, and elevate organisational productivity.
The Industrial Work Surface is where people come to make progress, get the job done, and execute business processes in the metaverse. Reimagining work means facilitating end-to-end processes more efficiently. "Work" refers to a broad range of activities involving various processes and actors, including analytics, optimisation, planning, management, and operations.
The System of Engagement allows you to interact and collaborate with data, models, and individuals, execute tasks and complete actual work. Its capabilities range from built-in rich collaboration features, advanced contextual and time-based annotations, and adaptive user experiences driven by activity patterns and AI to integrated asset exploration with asset explorer, asset search, query builder, visual filtering, and overlays.
The DataOps capabilities built into the Industrial Work Surface accelerate the realisation of business value by creating predictable delivery and change management of data and data models. DataOps automates the designing, deploying, and managing data delivery with appropriate levels of governance, using metadata and various enrichment and contextualisation methods to enhance the usability and value of data through the highly dynamic and “business real-time” Industrial Work Surface.
Our capabilities include:
Streamline operations, drive more value, and boost sustainability
Engineers deal with too many systems and applications that are disconnected — and often outdated. The Industrial Work Surface enables you to connect data, assets, and all your experts along with digital twin technology to facilitate more effective end-to-end operations.
Industrial organisations generally find it hard to improve because problem-solving and decision-making can be slow, ineffective, and resource intensive. The Industrial Work Surface lets you create a single source of the truth that all key stakeholders can use to make better business decisions, faster.
Many enterprises struggle to benefit from change – not due to technology challenges – but because they lack the ability to execute on a shared vision. The Industrial Work Surface helps you put the digital infrastructure in place to facilitate increased productivity and growth.
Ready to take full advantage of digitalisation? Allow us to introduce you to the Industrial Work Surface. Let’s optimise what humans and technology can do together.
Talk to an expertSee how Kongsberg Digital’s deep domain expertise helps industrial organisations achieve more.
A Global Outlook panel at Kongsberg Digital’s Tomorrow Show – Houston, featuring experts like Hema Prapoo from Microsoft, Richard Spears from Spears and Associates, Judson Jacobs from S&P Global, and Pedro Alcântara Nunes Neto from Kongsberg Digital, delved into the transformative role of AI across industries, particularly in energy.
Hema Prapoo emphasised that AI, including tools like Microsoft’s copilot and ChatGPT, is not designed to replace humans but to enhance their capabilities. The focus is on empowering the workforce to concentrate on essential tasks rather than mundane ones, maintaining a human touch at the core of AI applications.
Pedro Alcântara Nunes Neto discussed the critical role of government regulations in shaping the AI landscape. The EU AI Act was highlighted as a leading framework that ensures data privacy and ethical practices in AI development. He argued that regulation should not stifle innovation but instead provide a necessary structure for tech companies to operate responsibly.
Judson Jacobs raised concerns about the hype surrounding AI versus its actual impact. He shared insights on the energy sector’s adoption of AI over the past decade, which has improved operational efficiencies significantly. However, he noted the challenge lies in scaling these improvements across the industry rather than in isolated projects.
Richard Spears provided a stark statistic: the upstream oil and gas sector, spending $325 billion on operations, suffers from inefficiencies that could yield up to $32 billion in annual savings through AI. He stressed the importance of improving capital deployment by leveraging AI to gain accurate forecasts about future activities, ultimately increasing investment efficiency.
The conversation touched on Africa’s growing role in the global energy landscape, with predictions that by 2050, 25% of the world's population will live there. Hema and Richard discussed innovative approaches, such as using Africa's vast hydrocarbon resources to build local data centers, minimising reliance on expensive infrastructure like pipelines.
In response to Shane McArdle’s question about AI’s implications for national security and regulatory frameworks, Pedro pointed out that the evolving nature of warfare and cybersecurity necessitates careful management of data retention and privacy across borders, further complicating AI deployment.
A recurring theme was the necessity for collaborative digital platforms to facilitate information sharing in the energy sector. Hema pointed out that while proprietary workflows should remain intact, a common digital ecosystem is vital for improving operations and encouraging partnerships among stakeholders.
Spears highlighted that AI technology allows smaller companies to compete on a level playing field with industry giants, enhancing innovation and investment opportunities, which could lead to a more competitive and diverse marketplace.
The panel concluded with a mix of optimism and caution. While the potential for AI to revolutionise the energy sector and enhance efficiency is immense, panelists acknowledged the challenges of overcoming regulatory hurdles, ensuring cybersecurity, and fostering collaboration among diverse stakeholders. Embracing a human-centric approach and maintaining innovative thinking will be crucial as industries move toward adopting AI at scale.
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