Kognitwin Grid | Kongsberg Digital

This is Kognitwin® Grid

Your digital twin

Kognitwin Grid is a digital twin of the power grid, enabling grid operators to maximize the value of the grid of today – and of tomorrow.

Access data fast

Kognitwin Grid utilizes existing documentation across source systems to create a model of the grid. Replace siloed and fragmented data located in multiple systems with accessible contextualized data. Save time hunting for information and have intelligent, actionable data at your fingertips.
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Kognitwin Grid has an always-on simulator engine that performs a full power flow analysis across all voltage levels, including forecasts of future near-time or long-term load flow in the power grid to increase insights and support decision-making from planning to operations.

Scalable solution

Kognitwin Grid consists of modules that support the way you explore, monitor, optimize, study and maintain your power grid. The SaaS solution is flexible and scalable and can support grid operators that are both beginning, changing, or continuing their digital transformation.

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The Human-AI Partnership: How AI High-grades Work and Replaces Repetitive Tasks in Heavy Asset Industries The Human-AI Partnership: How AI High-grades Work and Replaces Repetitive Tasks in Heavy Asset Industries

Let's reframe the discussion around AI replacing human jobs and focus on its power to unlock time for problem-solving and strategy execution.

When opening Kongsberg Digital’s annual tech event, The Tomorrow Show, CEO Shane McArdle asked the audience if they had ever used ChatGPT and every hand went up.
While it's human to wonder whether advanced technology like AI will make your life better or worse, AI isn't new - it's been here a while, and you're likely using it more than you think.

“AI will eliminate the tasks you don’t like doing anyway” –

Shane McArdle

In our world of energy and maritime, AI has joined the industrial transformation journey by revolutionising data analysis and improving the human-technology experience, with digital twins and the Digital Performance Model as driving forces.

McArdle shared some thoughts on AI when he recently sat in on the Tech Exec Talk podcast with Adam Soroka, CEO of Cavendish Group.

“Machine learning and AI will eliminate those tasks you don’t like doing anyway—for example, searching for information or looking for a specific word inside a PowerPoint. AI will automate tasks, not remove jobs—that’s where I see the short to midterm with AI”

Humans at the center of technology

Did you know that decision effectiveness drives 95 percent of company performance?

When Pascal Bornet, the award-winning expert in AI and automation, entered the stage at The Tomorrow Show, he explored how to determine which decisions should be supported, augmented, or automated by AI.

But what does this mean, and how can AI enhance decision-making for professionals in the energy and maritime sectors?

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Example: Supported decision

AI can support the decision-maker by forecasting data-based scenarios, but humans must integrate long-term goals and community impacts, relying on critical thinking and emotional intelligence.

Example: Augmented decision

AI predicts failures and recommends maintenance schedules, with human engineers prioritising tasks based on strategic objectives.

Example: Automated decision

AI can monitor emissions data from power plants, automating a repetitive task that would otherwise require constant human attention. This category includes skills that machines can easily replicate, enhancing the quality of human roles.

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User-friendly solutions drive adoption

When discussing technology adoption, it's common to categorise users into Early Adopters, Fast Followers, and Laggards. McArdle highlights the critical role of user-friendly and intuitive technology in driving user adoption and satisfaction.

“Where we see it really taking off, is when the technology is easy to use. That “Every day, I am super excited to open up the digital twin; I want to do my work there” or “This is the only tool I use to search for information in documents”. That, for us, is super important. You must make technology fun and enjoyable, limiting tasks for people”. ‍

An example of AI in action

Typically, when using a digital twin to search for a phrase or ask a question about a tag, the twin will not return an answer. This is exactly what AI can solve. With the Industrial Work Surface, users can now use technology built on large language models (LLM) and generative AI through an easy-to-use digital interface that connects with asset and operational data.

AI is a valuable tool in heavy asset industries, automating repetitive tasks and improving decision-making efficiency. However, human expertise remains vital. Let’s embrace AI as a powerful partner, enabling companies to concentrate on high-value activities like problem-solving and strategic execution toward greater performance and profitability.

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