All of our expertise for your digital transformation

All of our expertise for your digital transformation

You need to have a good understanding of industrial production. Only then, you can develop any Industry 4.0 solutions that really create value.

Orientation — let's talk about your digital transformation challenges

Industry 4.0 is demanding. How can we best prepare for upcoming challenges? Körber Digital, which is driving the digital advancement of the Körber Group, is by its nature involved in all matters related to the transformation and digitization of manufacturing. Experienced in diverse industries and aware of many potential production issues, Körber Digital is offering orientation concerning lloT. Get in touch and let's discuss how we can make your first step into Industry 4.0 much easier.

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Co-Innovation and Co-Creation — let's create things together

Today Co-Innovation is the name of the game: creating a better solution together. And Körber Digital brings together two qualities that cannot be matched by others: a deep understanding of the needs of manufacturing companies, and software competence with a focus on the Industrial Internet of Things (IIoT). It’s easy for us to empathize with the thinking of manufacturing companies and Mechanical Engineers, because we have lively exchanges with them and carry out many joint projects.

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Data Science — new values derived from data

Data science tools and methods are well-established, proven, and affordable today. The analysis of manufacturing data can be used directly and easily to reveal further potential, even at peak times. Our customers frequently ask themselves: Where are the hidden sources of error in my production process? How do certain factors affect productivity? Why does the same issue occur again and again? Körber Digital Data Science experts investigate these questions, and they often find that the clues are already there, but hidden within the data.

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Machine Connectivity — a major challenge

For many small and medium-sized companies, it's hard to finance the purchase of new systems. Instead, they tend to focus on optimally refining their existing technological systems. This is challenging when it comes to connecting various types of machines and devices of different ages using different interfaces and “languages”. How can data be extracted from a PLC? What kinds of Edge Gateways are recommended? What about OPC UA? Together we can find answers that will connect you.

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lData Science in manufacturing generates deep insights for improved forecasting and processesr

Katharina Kober, Data Scientist

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What do cows have to do with Data Science?

Recognizing problems at an early stage: Automatic data-based classification often accomplishes more than human judgment.

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How outlier detection corrects errors in production – or prevents them in advance

A borehole is incorrectly drilled. A component is placed incorrectly in the installation space. The material supply is interrupted.

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Artificial intelligence makes machines much smarter

Data Science provides valuable insights for grippers that can think ahead

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Data Science Series, Part 1

How mechanical engineers can use Machine Learning — and benefit from it.

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