19 Feb 2020, Industry 4.0, Artificial Intelligence, Production, Technology
Many steel producers are eager to invest in predictive analytics in order to avoid defects in their production and thus save costs. Yet many are confronted with the confusion of which algorithms to use for what and whether a particular type of predictive model performs better than others. Learn how to create your own predictive model in 5 steps.
22 Jan 2020, Artificial Intelligence, Industry 4.0, Production, Technology
Defects reduce the quality of products and lead to economic losses. Imagine that software could predict which defects might occur and adjust production processes to avoid them. The models of Machine Learning (ML) make it possible! Learn how ML is used in order to predict production-related defects.
17 Dec 2019, Production
When you talk about the Chinese steel market, you perhaps think of “quantity-based”, “fast growing” or “state owned” industry. In recent years the Chinese steel industry has undergone a major transformation, which could even be called a restructuring. In this article we want to share a few keywords to give you an overview of the latest developments in the country’s industry.
18 Nov 2019, Industry 4.0, Artificial Intelligence, Production, Technology
Big Data are generated at a high pace and grow day by day. In metal production in particular, large amounts of data from production processes are collected over many years. Finding patterns in these large and complex data sets is impossible for the human brain and even for traditional data processing and management applications. This is where Machine Learning (ML) comes in. Join us on a short journey of thought into sports analytics.
08 Oct 2019, Industry 4.0
Since starting at PSI in 1981, our business has changed dramatically. Back then like today, people made the company what it is. Let me introduce some of them to you! Today Heiko Wolf, who runs the FutureLab at PSI Metals, helped set up our American office, and still manages to find time for his two children.
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