Predictive Big Data Analytics in the Process Industry: Predicting and Preventing Machine Failures, Critical Situations, and Product Quality Issues as Early as Possibly Using Machine Learning from Structured and Unstructured Data
The presentation describes predictive analytics use cases in the chemical industry, the steel industry, and other production processes:
Ralf Klinkenberg is the co-founder and head of funded R&D of the Predictive Analytics software provider RapidMiner. He has more than 20 years of experience in data mining, text mining, predictive analytics, machine learning, big data and applications in many industries. In 2001, he founded the open-source project RapidMiner with Dr. Ingo Mierswa and Dr. Simon Fischer, and in 2007 he founded the company RapidMiner with Dr. Ingo Mierswa.