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.
27 Jan 2020, Logistics, Production, Industry 4.0
Complex logistics calls for simplifying software solutions. A future-proof solution is required to ensure that warehouse processes run efficiently and dynamically, and can be adapted flexibly. The digital optimization of the core logistics processes is the top priority.
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.
26 Nov 2019, Technology, Transport
The satisfaction of public transport passengers is the focus of the transport operators. Punctuality and transparency are two key words here. A key element in reaching these goals is the automatic vehicle management system (AVMS). What advantages does the system offer when operating in the cloud?
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