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In 5 Steps to a Predictive Model - Acting Instead of Reacting, Part 3

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.

How to Predict Defects with Machine Learning - Acting Instead of Reacting, Part 2

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.

Chinese Steel Market: 5 Trends for 2020

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.