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PRAXISforum Big Data Analytics in Process Industry

Speakers

Speakers

Herbert Andert, Group-Leader EIC&Automation, VTU Engineering GmbH, Austria

Herbert Andert
Group-Leader EIC&Automation, VTU Engineering GmbH, Austria

"Borealis had serious failures on a large compressor, the cause of which could not be found. The talk shows how potential root causes were determined with historical process data in a collaboration with technicians and data specialists. In addition, the talk gives a comprehensible explanation of data analysis algorithms to strengthen the confidence and willingness to use them in industry."

Alexander Buchwald, Consultant, mayato GmbH

Alexander Buchwald
Consultant, mayato GmbH, Germany

"In this project we implemented a text mining solution to evaluate technical notifications completely automatically on a daily basis. Challenging was to fulfil the regulatory requirements and still have a process flow that business user can change or interact with the results."

Dr. Michael Sokolov, COO, DataHow

Dr. Michael Sokolov
COO, DataHow, Switzerland

"Big data is the raw material for process industry. The future competitive advantage of the companies depends largely on the capabilities to exploit the big data. In the talk, we'll explore some of the options that are already in the use and some future trends."

Martin Demel, Sr. Systems Engineer JMP, SAS Institute GmbH (JMP Devision)

Martin Demel
Sr. Systems Engineer JMP, SAS Institute GmbH (JMP Devision), Germany

"Industrial companies today collect more and more data, continuously and from more sources than ever. To make use of this data, statistics can help. But it is often met with reluctance and prejudice. However, applying statistics today is an easy, almost playful task. Find out how modelling and machine learning can be used to understand complex patterns and relationships in your data."

Moussa Diakhité, Real time Engineer, Air Liquide France Industrie

Moussa Diakhité
Real time Engineer, Air Liquide France Industrie, France

"With the centralization and digitalization of its operation Air Liquide has changed its usage of the data. The implementation of SIO streams and a contextual database for time series data are part of thoses changes."

Sebastian Dörr

Sebastian Dörr
Vice President Sales, CONWEAVER GmbH, Germany

"Increasing process complexity and rapid data growth require new technologies for data usage, mostly where dependencies about data silos are needed. The Graph technology overcomes these silos and provides this contextual knowledge to owner and operator. In addition, the information context AI procedure serves as a basis for Big Data Analytics. Make Your Big Data smart."

Dr. Rene Fassbender

Dr. Rene Fassbender
CEO & Founder, OmegaLambdaTec GmbH, Germany

"Every company that possesses or collects significant amounts of data needs to face the topics of Smart Data and AI today to be able to survive in the market in 10 years."

Mirko Hardtke

Mirko Hardtke
Business Development Manager, Data Virtuality GmbH, Germany

"According to a study by the Fraunhofer IAO and the IT industry association BITCOM, the networking of product development, production, logistics and chemical customers could result in an increase of 30 percent in their added value till 2025. In other words, whoever succeeds in making data usable along and across the entire value chain will gain a drastic competitive advantage."

Dr. Thomas Hansmann, Managing Director, CDV Advisory

Dr. Thomas Hansmann
Managing Director, CDV Advisory, Germany

"The perfect Big Data initiatives portfolio is balanced between explorative, highly innovative topics and return-oriented topics."

Dr. Tobias Harland

Dr.-Ing. Tobias Harland
Senior Manager, Industrie 4.0 Maturity Center GmbH, Germany

"Digitalization promises high potential for producing companies, but many struggle with the transformation. I will hand out a digitalization plan and show, this is more than a IT topic"

Dr.-Ing. Martin Hollender, Researcher, ABB Corporate Research Center

Dr.-Ing. Martin Hollender
Researcher, ABB Corporate Research Center, Germany

"Historical production runs can be distilled into knowledge to optimize current production runs"

Dr. Renata Jovanovic

Dr. Renata Jovanovic
Managing Director, Accenture GmbH, Germany

"Big data is the raw material for process industry. The future competitive advantage of the companies depends largely on the capabilities to exploit the big data. In the talk, we'll explore some of the options that are already in the use and some future trends."

 

Sebastian-Friedrich Kowitz, CEO, talpasolutions GmbH

Sebastian-Friedrich Kowitz
CEO, talpasolutions GmbH, Germany

"AI is like teenage sex:
Everyone talks about it, nobody really knows how to do it, everyone thinks everyone else is doing it, so everyone claims they are doing it..."

Prof. Dr. Dr. Thomas Lippert, Forschungszentrum Juelich, Germany

Prof. Dr. Dr. Thomas Lippert
Director of the Institute for Advanced Simulation, Head of Jülich Supercomputing Centre, Forschungszentrum Juelich, Germany

CV:

Prof. Dr. Dr. Thomas Lippert received his diploma in Theoretical Physics in 1987 from the University of Würzburg. He completed Ph.D. theses in theoretical physics at Wuppertal University on simulations of lattice quantum chromodynamics and at Groningen University in the field of parallel computing with systolic algorithms. He is director of the Jülich Supercomputing Centre at Forschungzentrum Jülich, member of the board of directors of the John von Neumann Institute for Computing (NIC), and he holds the chair for Computational Theoretical Physics at the University of Wuppertal. His research interests include lattice gauge theories, quantum computing, numerical and parallel algorithms, and cluster computing.

Dr. Stefan Pauli, Senior Data Scientist, VTU Engineering Schweiz AG

Dr. Stefan Pauli
Senior Data Scientist, VTU Engineering Schweiz AG, Switzerland

"Borealis had serious failures on a large compressor, the cause of which could not be found. The talk shows how potential root causes were determined with historical process data in a collaboration with technicians and data specialists. In addition, the talk gives a comprehensible explanation of data analysis algorithms to strengthen the confidence and willingness to use them in industry."

Dr. Tim Pohlmann, CEO & Founder, IPlytics GmbH

Dr. Tim Pohlmann
CEO & Founder, IPlytics GmbH, Germany

"Decision making requires a constant monitoring and analysis of millions of data points. This big data problem can only be solved with intelligent algorithms."

Dr. Martin Weng, Founder & Managing Director, aixprocess GmbH, Germany

Dr. Martin Weng
Founder & Managing Director, aixprocess GmbH, Germany

CV:

Martin Weng graduated in Mechanical and Biological Process Technology at Aachen University of Technology in 1995. During his PhD work at the Chair of Process Technology, he started working on high resolution experimental and numerical analysis methods for multiphase flows. Due to increasing demand for CFD and accompanying modelling techniques, Martin Weng founded aixprocess company in 2001 as a consulting & engineering company. He is since then Managing Director and mainly responsible for strategic business development, sales and HR.

Dr. Alexander Willner

Dr. Alexander Willner
Director Industrial Internet of Things Center
Business Unit NGNI, Fraunhofer FOKUS, Germany

CV:
Dr. Alexander Willner is the head of the Industrial Internet of Things Center at the Fraunhofer Institute for Open Communication Systems (FOKUS) and the head of the IIoT research group at the Technical University Berlin. In joint collaboration with the Berlin Center of Digital Transformation (LZDV) he is working with his groups in applying standard-based Internet of Things (IoT) technologies to industrial domains. With a focus on moving towards the realization of interoperable communication within the Industry 4.0, the most important research areas include real-time networks (TSN), middleware systems (OPC UA), distributed AI (digital twins) and the Edge Computing paradigm.

Prior research positions include the University Bonn, he holds an M.Sc. and a Ph.D. (Dr.-Ing.) in computer science from the University Göttingen and the Technical University Berlin respectively. His research interests are on semantics-enabled distributed information systems, linked data, the Graph of Everything, communication middleware and service-oriented architectures. He is active in relevant standardization activities and gives a corresponding lecture at the Technical University Berlin.

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