19/02/2020, 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.
22/01/2020, 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.
26/11/2019, 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?
18/11/2019, 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.
11/11/2019, Energy, Industry 4.0, Artificial Intelligence, Logistics, Production, Technology, Transport
In an interview the AI expert Dr. Rudolf Felix explains how Artificial Intelligence (AI) can optimize processes in production and beyond.
