Deep learning applications for corrosion detection
Matias Ferrero, RAMS Engineer at Norwegian University of Science and Technology (NTNU) some state-of-the-art deep learning approaches at the Maintenance Analytics Summit 2019.
Matias Ferrero, RAMS Engineer at Norwegian University of Science and Technology (NTNU) some state-of-the-art deep learning approaches at the Maintenance Analytics Summit 2019.
Considering the current standstill state the world is at the moment caused by the Coronavirus outbreak, there has been much discussion about black swans and whether it can be described as a black swan event.
Digital twins are virtual representations of real-life manufacturing assets. But they are not only models of the physical objects; they serve as a bridge and co-creation between data scientists and engineers. However, what digital twins fail to capture is the risk of assets and the environment to prevent failure.
We are marking 2020 by doing a recap series covering the stories of organisations who have spearheaded their data, AI and ML transformations, that were published this year, and left a distinct impression in the field.
And as data is at the core of their digital offerings, ensuring high data quality along their whole value chains is Grundfos’ most critical priority.
IoT has been on the scene for a while, the number of connected devices is increasingly growing and consequently the amount of data they are generating.
Boris Volavicius in his interview talked to us about the benefits of IIoT, some challenges that are still to be tackled and his prediction for the industry.
Soeren Linau, Head of Swiss Cross-Domain and Lufthansa Group AI Studio, is coming to Data Innovation Summit 2020 to present what Lufthansa Group is doing in the area of artificial intelligence and how AI Studio contributes to AI innovation in the Group.
We sat down with Alun Jones to talk to us about the developments, challenges and future outlooks of data science in his industry. Alun spoke at Data Innovation Summit 2018 and shared his experience with that it means to work as a Data Scientist in heavy asset industry.
Diego Galar, Professor of Condition Monitoring in the Division of Operation and Maintenance Engineering at LTU, Luleå University of Technology, is bringing in the most advanced views from the academic and research field when it comes to Industry 4.0 and industrial AI.
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