Data Science Solutions for Industries Challenges

The Industrial Data Science Conference gathers experts from various industries and focuses on data science applications in industry, use cases, and best practices to foster the exchange of experience, discussions with peers and experts, and learning from presenters and other attendees. Digitization, the Internet of Things (IoT), the industrial internet, and Industry 4.0 technologies are transforming complete industries and allow the collection of enormous amounts of data of various types, including big data and streaming data, structured and unstructured data, text, image, audio, and sensor data. Data Science, Data Mining, Process Mining, Machine Learning, and Predictive Analytics offer the opportunity to generate enormous value and a competitive advantage. Typical use cases include demand forecasting, price forecasting, predictive maintenance, machine failure prediction and prevention, critical event prediction and prevention, product quality prediction, process optimization, mixture of ingredients optimization, and assembly plan predictions for new product designs in industries like automotive, aviation, energy, manufacturing, metal, etc. Join your peers in the analytics community at IDS 2019 as we explore breakthrough research and innovative industry case studies that discuss how to best create value from your data using advanced analytics.

IPS - Institute of Production Systems

The Institute of Production Systems (IPS) was founded in 2012 as a scientific institution of the department Mechanical Engineering at the TU Dortmund University. Under the leadership of Prof. Dr.-Ing. Jochen Deuse, the institute employs around 45 scientific and non-scientific employees from the disciplines of mechanical engineering, industrial engineering and management, logistics, mathematics and computer science.

The institute contributes in research and industrial application in the fields of Work System Design, Production System Dynamics, Digital Manufacturing and Smart Quality. The tools used to solve industrial problems in all fields thereby range from classical industrial engineering methods to industrial data science tools such as the application of advanced data analytics and machine learning.

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RapidMiner brings artificial intelligence to the enterprise through an open and extensible data science platform. Built for analytics teams, RapidMiner unifies the entire data science lifecycle from data prep to machine learning to predictive model deployment. More than 625,000 analytics professionals use RapidMiner products to drive revenue, reduce costs, and avoid risks.

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