Data is the industrial world’s most important commodity, but there is a big problem: pulling the value from raw data can take a lot of work.

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Stein Danielsen, Co-Founder and Chief Solutions Officer at Cognite says there is a pressing need to turn data gathered into data that can be used:

“Data scientists spend 80 percent of their time on cleaning data, before doing actual analysis. We need a new type of software to get value from data across the organization.”

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Girish Rishi, Chief Executive Officer at Cognite says that traditionally, connecting data has proven to be a challenge:

“Data is sitting in silos in different parts of the enterprise. When real-time data is fed into data lakes or applications, it becomes static. So the opportunity in digitalization is to harvest data on a real-time basis.”

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Context, says Danielsen, is the game changer, as it makes the data “speak human” - that is, it becomes understandable to the user:

“If you want to go to a restaurant, you can go on an online map and find the opening hours and customer reviews captured from websites. This is contextualization. We don't have this for industry.”

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Until now. Laxmi Akkaraju, Senior Vice President of Global Services and Delivery at Cognite says that the company’s software is built to solve this fundamental data problem:

“Cognite Data Fusion builds knowledge graphs for industrial companies such as oil and gas, manufacturing, or power utilities. We use artificial intelligence to connect the different data sources and show all of your data in one place.”

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This gives Cognite Data Fusion users what they need to become more operationally efficient. Danielsen says that at last, more data means more insight rather than more work to sort it out:

“The beauty is that the more data you put in, the more powerful it becomes. When you add current sensor values and emissions data, you can optimize performance and make solutions more sustainable.”

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As Akkaraju notes, it also means that companies can build and deploy solutions 10 to 20 times faster by enabling non-data scientists to build data driven solutions and get more value out of their data:

“Industrial DataOps is a new way of managing data in the industrial sector. Step one is to make your data available. We use extractors to get industrial data types, whether it's operational IT or engineering systems. Step two is making your data useful. We use AI-powered contextualization to create relationships between the different data sets and keep track of it as a flexible knowledge graph. Step three is making your data valuable. The flexible data graph provides a solid foundation for making digital twins, which are agile, adaptable, and efficient.”

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Danielsen explains the value of a digital twin:

“A digital twin is a digital representation of something that exists in the physical world. Cognite Data Fusion accelerates the building of a digital twin using machine-based learning and AI. Our customers use the digital twin to improve operations, cutting time for planning and reducing maintenance and as you use less energy, we can also make it more sustainable.”

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The process gives all business users insights to make better decisions and create scalable solutions for themselves. For Ole Thorresen, Director of Digitalization at Aker Biomarine, the advantages of this approach were clear from the outset:

“We really saw the power of Cognite’s tech. As soon as we got the data out, it was immediately available for the key people in that organization. We could see what's happening in our plant at a high level of granularity and done amazing things with uptime, resource and capacity utilization, just by getting data in the hands of the right people.”

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Another customer, Kalle Johnny Hersvik, CEO at Aker BP, says the Cognite offer is unique:

“This technology is really cutting edge. I can't see that there are any competitors able to provide what Cognite is providing.”

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Akkaraju believes that Cognite Data Fusion is able to help customers achieve the goals of producing more while they cut emissions and waste. She says:

“Taking control over data will enable legacy industries to become more sustainable and emerging industries to scale and become more profitable. Companies have to assure that every industrial asset can reach its fully digitally optimized potential on efficiency, profitability, and sustainability.”

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For Rishi, the power of digitization can only be massively influential over the coming decade:

“Digital transformation enables more socially and ethically responsible production and availability of goods for consumers. Digitalization is imperative and smart utilization of data is required to achieve it. I'm really optimistic of what happens on that front over the next five to 10 years.”

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