Tuesday, 9 April 2019 |
10:00 |
Check-in and opening of exhibition |
11:00
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Opening and welcome address
Moderation: Thomas Hansmann, CDV Advisory, Germany
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11:15
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Current trends within the Industrial Internet of Things: End to end data processing
- Connectivity: 5G/TSN
- Communication: OPC UA
- Data: Distributed digital shadows
- Processing: Edge computing
Business Unit NGNI, Fraunhofer FOKUS, Germany
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11:45
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Reshaping process industry by using Big Data
- Big Data - new raw material for process industries
- Examples of use of big data to increase process efficiency and product quality
- Examples of use of Big Data for innovative prodcuts and business models
Renata Jovanovic, Managing Director, Accenture GmbH, Germany
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12:15 |
Lunch break, interactive networking and discussion @ "topic tables" in exhibition area |
13:30
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Failure analysis and early detection for large machines using data analytics
- A failure analysis example from Borealis-Polyolefine
- An understandable introduction to the involved machine learning algorithms
- Inspiration to use data analysis in industry
Stefan Pauli, Senior Data Scientist, VTU Engineering Schweiz AG, Switzerland
Herbert Andert, Group-Leader EIC & Automation, VTU Engineering GmbH, Austria
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14:15
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AI in action: A complete and AI-based process automation of text classifications
- Complete process automation including a daily text mining
- Business user can easily work/adjust process flow
- User interface to work with the text mining results
Alexander Timo Buchwald, mayato GmbH, Germany
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14:45
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Data science use cases for the process industry: Data-driven production & supply chain optimizations and forecasting approaches
- Introduction of data science into the company culture by means of a phase model
- Data science and AI use case requirements for defining the future IT architecture
- Real life use case examples relevant to the process industry
Rene Fassbender, CEO & Founder, OmegaLambdaTec GmbH, Germany
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15:15
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Coffee break, interactive networking and discussion @ "topic tables" in exhibition area
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16:30
|
From data to knowledge − on the transformation and translation
- Promotion of technology transfer from science to industry in the field of cognitive computing
- Automated workflows on supercomputers for AI and data analytics. Examples: neuroscience and Earth systems sciences
- How the new paradigm of modular supercomputing boosts data analytics and AI
Thomas Lippert, Director of the Institute for Advanced Simulation, Head of Jülich Supercomputing Centre, Forschungszentrum Jülich GmbH, Germany
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17:00
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How Big Data will shape the future of intellectual property analytics
- Emergent technology trends change market competition
- Why decision making requires a constant monitoring & analysis of millions of data points
- How artificial intelligence helps to overcome the big data problem
Tim Pohlmann, CEO & Founder, IPlytics GmbH, Germany
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17:30
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Managing the digital transformation
- What the vision of Industrie 4.0 tells?
- What do other leading companies?
- How can I build my company-individual roadmap?
Tobias Harland, Senior Manager Industrial Practice, i4.0MC Industrie 4.0 Maturity Center GmbH, Germany
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18:00
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Data Mining mining data – Let’s put your data to work
- 20.8B connected things by 2020
- 1% of industrial data is used
- Making sense of DATA is hard. Making use of DATA even harder
Sebastian-Friedrich Kowitz, CEO, talpasolutions GmbH, Germany
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18:30 |
Networking Dinner and Discussion @ "Topic Tables" in Exhibition Area
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22:00
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End of first PRAXISforum Day
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Wednesday, 10 April 2019
|
08:30 |
Re-Opening of Exhibition |
09:00
|
Graph technology the enabler for advanced analytics in process industry
- Graph Technology allows complete transparency of the design process
- Cross-functional comparison between plant design and plant operation is effortlessly possible
- Technology significantly improves topics such as predictive maintenance
Sebastian Dörr, Vice President Sales, CONWEAVER GmbH, Germany
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09:30
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Gaining a 360°-view on the business along the whole value chain to make smarter business decision and to thrive innovation
- The new requirements on the data supply chain
- How to build a smart data supply chain involving big data and business data with the Logical Data Warehouse (LDW)
- Breaking down the data silos within the entire organisation
- Feeding the hunger of IoT and AI applications
Mirko Hardtke, Business Development Manager, Data Virtuality GmbH, Germany
|
10:00
|
Remote monitoring & optimization for Air Liquide plants
- Data cleaning
- Centralized monitoring and optimization
- Remote control
Moussa Diakhité, Real Time Engineer, Air Liquide France Indstrie, France
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10:30
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Big Data monitoring of chemical batches
- Turn your batch data to actionable insight
- Using big data analytics methods to detect and correct product anomalies early
- Increase the productivity of each asset
Martin Hollender, Researcher, ABB Corporate Research Center, Germany
|
11:00 |
Coffee Break, Interactive Networking and Discussion @ "Topic Tables" in Exhibition Area |
12:15
|
Model-based solutions for digitalization and automation in the process industry
- Integration of process data and process knowledge into smart self-learning solutions
- Smart software, smart sensors and smart platforms
- Tailored applications for process screening, optimization, scale-up and predictive maintenance
- Industrial cases and implementations in chemical and pharma sector
Michael Sokolov, COO, Data How, Switzerland
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12:45
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What (not?) to expect from Big Data analysis in process technology
- Data mining use case: Power plant efficiency
- Big Data analysis is NOT getting all answers from an automated set of algorithms...
- Perspective from offline to online data analysis
Martin Weng, Managing Director, aixprocess GmbH, Germany
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13:15
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Make it fun to use modelling and machine learning
- Are you aware that you most likely are already using some machine learning techniques?
- Pitfalls you can fall in using traditional methods like ANOVA or least-squares regression
- How to deal with functional data and other useful machine learning techniques out of the box
Martin Demel, Sr. Systems Engineer JMP, SAS Institute GmbH (JMP Devision), Germany
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13:45 |
Lunch break, interactive networking and discussion @ "topic tables" in exhibition area |
14:30 |
End of PRAXISforum |