Luca Maria Aiello

Senior Research Scientist, Nokia Bell Labs

Abstract: Predictive Analytics in the Connected Society

The rise of social media and collaborative web applications has sparked an unceasing deluge of data about ourselves, our social interactions, and the world around us. Despite the unprecedented opportunities that this new data-rich era opens up, the overabundance of information makes it difficult to generate reliable predictions and actionable knowledge from it. In such scenario, one of the main tasks of data science teams is to use the right tools to extract valuable information from very large and noisy data streams. In this lecture we will discuss some of the principles behind predictive analytics that apply to most contexts where user-generated data are available to the analyst. We will do so by surveying some recent research work on big data from a diverse set of sources including social media, multimedia corpora and georeferenced datasets.

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Luca Maria Aiello is a Senior Research Scientist in the Social Dynamics group at Bell Labs in Cambridge, UK and Resarch Fellow of the ISI Foundation in Torino, Italy. He received his PhD in Computer Science from the University of Torino in 2012 and he has been a Research Scientist at Yahoo Labs for almost 5 years. He conducts interdisciplinary research in network science, computational social science, and urban informatics. He co-authored 50+ peer-reviewed papers and his work has been covered by more than 200 news articles published by prestigious news outlets worldwide including Wired, Wall Street Journal, and BBC. He was General Chair of SocInfo in 2014 and covered different organizational roles in ICWSM, ACM Hypertext, ACM Multimedia, UMAP. He is among the founding members of GoodCityLife.org, a global network of scientist with the goal of giving a good life to city dwellers.

Harry Bouwman

Professor Information Systems, Åbo Akademi University & Associate professor, Delft University of Technology

Abstract: The Complexity of Business Model Innovation, some practical Lessons, Cases and Tools

Business Models have been extensively discussed in literature but empirical research is limited, specifically if one focus on SMEs.  Therefore we present large scale survey research among European SMEs from all sizes, back grounds and industries, as well as cases studies. The results serves as input for the development of tooling and as input to the businessmakeover.eu platform.  We focus mainly on practical implementations or BM Innovations paths as supported by our toolset and platform.

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Harry Bouwman is a Professor in Information Systems at Åbo Akademi University, Turku Finland and an associate professor at Information and Communication Technology Section, Faculty Technology, Policy and Management, Delft University of Technology, Delft, The Netherlands. His research is focused on (1) Strategy, Business models, and Enterprise Architecture, and (2) design and analysis of Mobile applications and mobile service platforms. He is senior editor of Electronic Markets and one of the chief editors of Telematics & Informatics. He extensively published in academic journals like Electronic Commerce Research and Applications, European Journal of Innovation Management, Futures, Information & Management, Interacting with Computers, Information Systems and E-Business Management, Journal of Business Research, Journal of Information Systems Frontiers, Journal of Information Technology, Quality and Quantity, and Telecommunications Policy. Currently he is leading the H2020 project Envision.

Philipp von Esebeck


CFO GSA, Sony Music Entertainment

Abstract: Data vs. intuition: Who makes the hits these days?

Coming soon…

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As CFO & SVP Business Strategy Divisons GSA, Philipp von Esebeck supervises/is in charge of Finance, IT, Legal & Business Affairs as well as Brand? Partnership & Music Licensing at Sony Music. He joined Sony Music in the summer of 2014, after serving as Finance Director for Twentieth Century Fox, where he oversaw the entire finance department for the group’s two Cinema and Home Entertainment companies in Germany and Austria. Prior to that, he spent many years in senior [executive] positions in the entertainment and music industry, including as Vice President Finance GSA for the former EMI Music. Other careerstations included the co-founding and management of the Hamburg-based company M Formation, and the management of MediaMutant Filmproduktion in Stuttgart. Philipp von Esebeck, Dipl. Inf. (FH), studied at the European Business School in Oestrich-Winkel and additionally holds an MBA from James Madison University in Harrisonburg, VA (USA).

Dirk Hamelinck

Strategic Valorization Manager at imec, Member of the Board of Directors of BDVA

Abstract: Distributed or Federated … what taste that fits your Business ?

Cloud Processing was a buzzword 10 years ago, …, today innovative cloud solutions ease our life or increase effectivity of our businesses. The notion that not all data and infrastructure needs to be contained within the company firewall has been embraced widely in several sectors. But as we engage further into this direction, we find out that sometimes we hit hard boarders : is transporting all my data affordable or even desirable ? how can I share our most valuable data without loosing our competitive edge ?  …

Some motivations may drive you towards a Distributed or Federated approach, but you could also consider to mix both into one solution. In this talk, Dirk Hamelinck will present 2 research use-cases where imec explores novel data analytics techniques to overcome the barriers to share business critical data in the smart Health domain – as starting point to create cross-party business value.

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Dirk Hamelinck is Strategic Valorization Manager at imec, and is also part of the Board of Directors of BDVA (BDVA is the industry Alliance that makes part of the EU Big Data Value PPP).

Located in Leuven Belgium, imec is a world leading semiconductor and digital solutions research organisation. With more than 3000 researchers on board, imec is creating breakthrough hardware + software solutions together with a worldwide network of industry partners in sectors such a Smart Health – Smart Energy – Smart Mobility – Smart Industry – Smart Infrastructure…

Carlos Härtel

CTO & CIO, General Electric Europe

Abstract: Minds & Machines – Building the digital-industrial Enterprise

The Industrial Internet of Things (IIoT) is bringing together connected machines, advanced analytics, and people at work. It’s a network of a multitude of devices that enable powerful new applications to monitor, collect, exchange, and analyze business-critical information. Whether it’s predictive analytics to detect corrosion inside a refinery pipe, providing real-time production data to uncover additional capacity in a plant, or driving visibility and control over industrial software environments to prevent cyber attacks. Leveraging IIoT’s full potential will require companies to adopt a “digital-industrial” mindset across all business operations, from supply chain to service delivery. The talk will address GE’s own digital transformation and highlight some of the key applications developed on and for its Predix IIoT platform.

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Dr.-Ing. Carlos Härtel has been appointed Chief Technology and Innovation Officer for GE in Europe in July 2016. In this role, he is responsible for driving new product and technology development in the region, closely partnering with GE’s global businesses. Carlos Härtel drives co-creation efforts with leading customers, develops GE’s access to world-class R&D partners and infrastructure, and accelerates the transfer and commercialization of advanced technologies. Together with GE Digital and the company’s industrial divisions, he is responsible for the innovation agenda in Europe. He is also General Manager of GE’s European Research Center in Garching near Munich.
From October 2015 until July 2016, Carlos Härtel was Chief Executive Officer (CEO) GE Germany & Austria, managing GE’s operations in Germany and Austria, creating and implementing strategy and coordinating cross-business growth initiatives. Carlos Härtel has been leading GE’s European Research Center since 2007. He started working there as manager of the laboratory for Alternative Energies and Environmental Technology in 2003 and drove the expansion of the research facility to a highly diversified industrial R&D organization, developing cutting-edge technology and hosting scientists from over 40 countries.
Prior to joining GE, Härtel worked for Alstom in Switzerland, where he held positions as scientist and manager, first in the development of gas turbines, later on in the service business for power plants.
Carlos Härtel studied Aerospace Engineering at RWTH Aachen and the Technical University of Munich. He received his doctorate from TU Munich and spent several years in research at the German Aerospace Center (DLR) in Göttingen and at ETH Zurich, where he qualified as university lecturer in 1999. Carlos Härtel holds several patents and has published more than fifty scientific papers. He is President of the European Industrial Research Management Association (EIRMA).

Bruce Horn

CTO, Saffron Technology Group

Abstract: User Experience in a World of Intelligent Agents

Coming soon…

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Bruce Horn is an Intel Fellow and Chief Technical Officer for the Saffron Technology Group, part of the New Technology Group (NTG) at Intel Corporation. He is responsible for driving new applications and uses for Saffron’s memory-based reasoning system, a fundamentally new approach in the development of intelligent personal devices and systems.
Previous to joining Intel, Dr. Horn was Principal Research Software Development Engineer at Microsoft Corp. where he worked on the creation and deployment of Natural Language systems for Bing, Microsoft’s search engine. Before joining Microsoft, he was at Powerset Inc. where he was responsible for the computational infrastructure of the Powerset Natural Language Search System.
Horn is most widely known for his work at Apple, where he created and developed the Macintosh Finder – the first widely-used desktop graphical user interface. He began his career as a member of the Learning Research Group at the Xerox Palo Alto Research Center, where he contributed to several implementations of the Smalltalk virtual machine.
Horn earned a B.S. In Mathematical Sciences from Stanford University in 1981, and an M.S. And Ph.D. In Computer Science from Carnegie-Mellon University in 1994.

Anthony Jameson

President, Chusable AG & Principal Researcher, German Research Center for Artificial Intelligence (DFKI)

Abstract: Human Choices in Smart Production

Even in a highly automated Smart Production environment, human beings have to make important choices and decisions, such as:

  • How to configure intelligent devices and systems
  • When and how to intervene in ongoing autonomously controlled processes

Choices like these differ in some ways from choices that people have had to make in more traditional industrial contexts; and there exist new strategies and techniques for supporting these choices.

We analyze some human choices in Smart Production using the newly developed web application Chusapedia. It makes use of a continually extensible repository of knowledge about human choice and choice support to help analysts design choice supporting interventions in a wide range of contexts.

(Hands-on experience with Chusapedia is being offered in the tutorial “Using Chusapedia to Design Applications That Support Human Choice” in the “International Workshop on Recommender Systems and Social Network Analysis” on Thursday morning.)

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Anthony Jameson is a Principal Researcher at DFKI, the German Research Center for Artificial Intelligence and founder of the new startup Chusable AG, which specializes in software for helping people to make better choices. Since the late 1970s, he has done research and practical work on various types of interactive intelligent system, combining knowledge of psychology, artificial intelligence, and human-computer interaction. From 2009-2016 he was founding coeditor-in-chief of the ACM Transactions on Interactive Intelligent Systems. Work especially related to the Chusapedia system presented at i-KNOW 2017 includes (a) the theoretical integration of research on choice and choice support expounded in the 2014 book Choice Architecture for Human-Computer Interaction and in the handbook chapter Human Decision Making and Recommender Systems; and (b) work on systems that integrate knowledge using semantic technology: participation in Project Halo; and the leadership of 3cixty, which won the 2015 Semantic Web Challenge.

Shah Karim

CEO of SafeRock

Abstract: Big Data Case Studies from US Retail and Energy

How can companies in the Digital Economy use data to improve strategic decisions and build competitive advantage? Big Data enables management to make more effective decisions using data from devices and advanced analytics. This talk explains how to do this through two case studies.
The talk explores how management and investors gain insights from data using case studies the United States and Europe from two different sectors of Consumer Retail and Energy.

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Shah Karim is an expert on big data and omni-channel retail, and CEO of SafeRock a retail analytics and strategy company that improves shareholder value and return on investment.
Shah is a leading researcher and speaker on retail megatrends, convergence of retail stores and ecommerce, mobile and digital solutions, U.S. retail sales, education technology and customer engagement.
Shah has authored and co-authored research published in CITI Research, Retail & Leisure, Retail Solutions Online, Chain Store Age, Apparel News, Handelsblatt, and Shopping Center Business. He delivered keynotes at InCommerce 2016 in Berlin, 9th CIO Summit at IGDS, SXSW 2016 German Haus, and is a co-chair of the upcoming 2017 Big Data and Digital Economy conference at Yale University. He is recognized as a top 100 retail industry influencer by Retail Digest.
Since 2013, he has served on the board of governors for UNT’s merchandising and digital retailing program and the Think Tank for the program’s research center. Most recently, Shah was invited to Penn State’s Industry Advisory Board for Enterprise Systems, and is an Advisory Board Member of NJIT School of Management. He is a Fellow of the Tribeca Disruptor Foundation, a community of accomplished and promising innovators dedicated to propelling their respective fields further.
Shah received his B.A., M.A., and M.Phil. from Yale University.
About SafeRock
SafeRock is an analytics firm that advises preeminent US and international companies to improve company value and efficiency. We provide strategy, analytics, and Big Data solutions, focusing on improving Customer Engagement and Shareholder Value. SafeRock has proprietary technology solutions and has advised prominent clientele such as Hudson’s Bay Company (owner of Lord & Taylor, Saks Fifth Avenue, and Galeria Kaufhof), Metro, CEconomy, PetSmart, Panasonic, Toys ‘R’ Us, Babies ‘R’ Us, Christie’s and others.

Stefanie Lindstaedt

Managing Director, CEO Know-Center

Abstract: Industry 4.0 Austria – the Platform for Smart Production

The Association Industry 4.0 Austria – The Platform for Smart Production – was established to foster collaboration among all stakeholders and facilitate new technological developments and innovations in the context of digitization (‘Industry 4.0’) and thereby to find sustainable solutions to challenges faced by companies, research institutions and society as a whole. The Platform facilitates the implementation of digital transformation in Austria and unifies the Industry 4.0 community.

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Univ.-Prof. Dr. Stefanie Lindstaedt leads the Knowledge Technologies Institute within the Department of Computer Science & Biomedical Engineering at Graz University of Technology. She is also Managing Director of Know-Center GmbH, Austria‘s leading Research Center for Data-driven Business and Big Data Analytics. Know-Center is funded by the Austrian COMET program and 50% owned by Graz University of Technology. By undertaking applied science projects, Know-Center bridges the gap between science and industry.

Stefanie has an excellent track record in leading large interdisciplinary research projects and groups, developing young scientists and in obtaining EU and Austrian funding (more than € 44.5 million over the last 10 years). She scientifically coordinated the large integrated projects MIRROR IP and APOSDLE IP. In addition, she is/was a key partner in many other EU-funded projects, such as the LAYERS IP, MATURE IP, STELLAR NoE, OrganicLingua, etc. She has published more than 150 scientific papers in conferences and journals and supervised 18 Ph.D. theses. Stefanie is General Chair of European Data Forum (EDF 2015) and of I-Know conference series (since 2012), and Program Chair European Conference on Technology Enhanced Learning (EC-TEL) 2012.

Stefan Mangard

Deputy Head of the Institute of Applied Information Processing and Communications, Graz University of Technology

Abstract: Security Challenges in the Internet of Things

While the Internet of Things (IoT) enables a huge range of novel applications, also the security challenges arising by the deployment of IoT technologies are unprecedented. In fact, IoT devices are exposed to a wide range of attacks ranging from remote attacks via the network to local physical attacks. At the same time, the value of information that is collected and processed by IoT devices is continuously rising.

This talk provides an overview of IoT security challenges. Besides focusing on classical security questions and countermeasures, the talk in particular also focusses on side-channel attacks, which allow bypassing security mechanisms by exploiting properties, such as the timing behavior or the power consumption, of the underlying hardware.

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Stefan Mangard is professor at TU Graz and heading the Secure Systems group. Before joining TU Graz, he was working as leading security architect at the Chip Card and Security division of Infineon Technologies in Munich. He holds an ERC consolidator grant, is an author of the first textbook on power analysis attacks, and chairs the CHES steering committee, the foremost conference on hardware security and side channels.

His research interests include all aspects of IoT security ranging from hardware security and system security architectures to cryptography and mobile security.

Bernhard Niedermayer

Software Architect, Team Lead, Catalysts GmbH

Abstract: Data Management as a Service

Data has become a good of high value and a critical factor for numerous products or business models. At the begin of this trend the pure access to data brought
a market advantage already. By now, the field has matured and – as for traditional raw materials – the efficiency of storage, access, or processing came into focus.
In this talk, two approches are presented where Data Management is encapsulated and offered as a service, to reduce the complexity of the application layer on
top. One of them fits the earth observation domain, where the concept of a data cube is facilitated to make diverse spacial and temporal resolution of individual
data scources transparent to the data consumers. The other is taylored to the Internet of Things where live feeds of sensor data are processed and presented as
time series with a suitable resolution.

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Bernhard Niedermayer is leading the Data Science group at Catalysts. Latest projects are in the domain of Predicitive Maintenance and general data analysis in the industrial context. Other current topics he is working on comprise Machine Learning of image and text processing as well as emerging technologies, such as blockchain.
Previous to joining Catalysts Bernhard Niedermayer was affiliated with the Department of Computational Perception at the Johannes Kelpler University of Linz (JKU). There, he obtained his doctorate for his work on audio processing using Machine Learning techniques.
Niedermayer also teaches as guest lecturer at the University of Applied Science in Hagenberg in the Software Engineering curriculum.

Vladimir Preveden

Managing Partner Austria, Roland Berger GmbH

Abstract: Of Data and Strategy – How Artificial Intelligence is changing the Rules of the Game

Everyone is speaking about data. However, how can companies use them strategically to build up own competitive advantages? Artificial intelligence allows for an abundance of up to now not thinkable use cases, unfolding the full strategic potential of data. In order to reap the benefits before others do, corporations need to act forsightfully and develop and implement specific new skill sets.

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Vladimir Preveden studied Mechanical Engineering and Business Economics at the Graz University of Technology, Austria, and the Universidad Politecnica de Valencia, Spain. At the University of Vienna, he completed his PhD in Innovation Management. In 1999, he joined the international consulting company Roland Berger, in January 2015, he was promoted Managing Partner for Austria.

He has supported major international corporations in Austria and across Europe in strategically relevant topics. Furthermore, he is the author of numerous studies analyzing turning points initiated by digital technologies  and subsequent cultural change. International attention has arisen above all from his works on new skill sets needed in the era of emerging digitization, corporation/start-up cooperation based on Corporate Venture Capital models and the recently published study on how Vienna will be able to join the top league of European start-up hubs.

Eveline Steinberger-Kern

Founder & CEO, The Blue Minds Company

Abstract: Business model design for visionaries

What is the purpose of innovation? Why is it equally important for large enterprises and SMEs? How can innovation successfully be driven internally and externally?

To address the link between these questions and advanced business model design, it is necessary to discuss fundamental findings in innovation research by pioneers such as Clayton Christensen. Nonetheless, this is by far not only a theoretical matter to be discussed on paper. Defining role of innovation in startups, corporates and external accelerators is crucial to understand the ecosystem of change we are currently chasing after.

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Eveline Steinberger-Kern is the founder and director of The Blue Minds Company GmbH (TBMC), an innovative consulting and research company, which concerns itself with questions and answers to the transformation of energy systems. In Tel Aviv she operates Foresight Energy Ltd., a subsidiary of TBMC, that develops software for digital-energy-related services.
She studied Business Management in Graz, obtaining her doctorate in 1998 from the University of Graz (‘Karl-Franzens-Universität’), and completed the Young Management
Programme at ‘INSEAD’, Fontainebleau.
From 1999 Eveline Steinberger-Kern was at ‘Verbund AG’ in Vienna for nine years, where she served, among other things, in the role of head of Strategic Marketing and portfolio
management, and served as director of ‘Verbund-Sales GmbH’.
The Austrian Climate and Energy Fund was her next station. While there she led the business. 2010 she grounded her irst business with ‘green minds’ and participated in the start-ups surrounding the decentralised energy supply system (among other things, ‘The Mobility House AG’, a mobility services provider for electromobility.)
From 2012 to 2014, as Sector Cluster Lead Energy at ‘Siemens AG Austria’, she was in charge of the energy business in 19 countries of Eastern and South-Eastern Europe.
Since July 2014 Eveline Steinberger-Kern is back operating in her independent business (decentralised energy provision). ‘The Blue Minds Company GmbH’ is a relaunch of the ‘green minds e.U.’ company, which was founded in 2010.
Eveline Steinberger-Kern holds mandates in the Supervisory Board and the Administrative Board of ‘Energie Burgenland AG’ and ‘UniCredit Bank Austria AG’.

Tomas Chroust

Senior Manager, Big Data & Smart Analytics at BearingPoint

Abstract: Gaining insight through advanced information visualization

The vision of gaining business insight and improved information gathering process and visualization is based on the principles of greater information sources integration, visualization of interlinks, relevancy of relations and information clustering und retrieving concepts. Unlocking the potentials of existing internal, external, structured as well as unstructured information and gaining insight into core business topics are the motivators for the implementation of an advanced information visualization platform for a major swiss re-insurer.

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Tomas Chroust graduated in International Business Administration with a focus on Informatics and Business Administration at the University of Innsbruck, Austria & University of Wales (Swansea). Until 2007 he worked as a Business & IT Consultant at Daimler Headquarters in Stuttgart and then joined the European business and technology consulting company BearingPoint. Tomas is a Senior Manager in the BearingPoint office in Zurich, Switzerland.

His professional focus is Big Data & Smart Analytics, Enterprise Performance Management, Business Intelligence & Data Warehouse Solutions and Enterprise Data Management / Integration Modeling.
He leads engagements mainly in the financial services industry – for example he was the business, project and technical lead for an e2e BPM Portal for the financial closing process for a large re-insurer.

Christian Derler

Research Manager, Team Leader at JOANNEUM RESEARCH – Digital

Abstract: Secure Smart Technologies

Smart applications find their way into production sites, smart buildings, smart homes – they heavily depend on data collected, processed, stored and transmitted. We are already living in a connected world – but do these new applications sufficiently take care about data protection and privacy? Information security is seen as the key issue for success of the digital transformation. In order to catch up with security, we mainly need three things: excellent knowledge, usable tools and new methods. This talk is about the approach taken by JOANNEUM RESEARCH – DIGITAL to make smart technologies more secure.

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Christian Derler is deputy head of the research group Connected Computing and a member of the management team of the DIGITAL – Institute of Information and Communications Systems at JOANNEUM RESEARCH. Having been business development manager for several years he possesses distinct domain knowledge in security research with its application areas transport, defence and energy systems. He leads a team of researchers that focuses on the development of an information system for CBRN situation awareness and software tools that increase cyber resilience. He represents the Institute in a number of special interest groups among them the European Cyber Security Organisation (ECSO), the Austrian Traffic Telematics Cluster (ATTC), the IT Cluster OÖ, and the Public Safety Communication Europe Forum (PSCE). He graduated in Information Technology from the University of Technology, Graz in 1995. Since then he managed numerous national and international projects, complemented by consulting activities within the scope of the company’s technology transfer mission. His professional training includes courses in business management, organization and leadership complemented by his education as professional Systemic Coach.

Allan Hanbury

Senior Reseacher at TU Wien

Abstract: Data Market Austria: Setting up a Data-Services Ecosystem in Austria

Coming soon…

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Coming soon…

Christopher Horn

Co-Founder & CEO at Invenium

Abstract: Exploring human mobility at scale

Invenium Data Insights GmbH is a spin-off of Graz University of Technology and Know-Center GmbH. We analyse large scale movement data to answer key questions from the transportation, retail and tourism domain. “How many commuters take the train?”, “where are my customers coming from?” or “what is the country distribution in my ski resort?”. This talk gives a brief overview of our products and provides some technical details on our Big Data platform.

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Christopher Horn is a co-founder of Invenium. After graduation from Graz University of Technology, he worked at Know-Center GmbH as a Researcher and Software Engineer. During this time, he worked on several projects that involve large scale movement data, and the idea for Invenium emerged. He founded Invenium together with some collegues in 2016.

Christian Krenn

Head of Business & Technology at DCCS

Abstract

In this project, a partnership between DCCS and Know-center was established to uncover hidden suppliers and their complex relationships across the entire supply chain. Unexpected disruptions, e.g. earthquakes, volcanoes, bankruptcies or nuclear disasters have a

Martin Mayer

Business Development at Evon

Abstract: Towards Predictive Maintenance Experiences, Learnings and Industrial Applications

Data-driven modeling and mechanistic modeling result in highly a different amount of available process data and thus probably in different IT infrastructures (local administration – cloud approach). Both concepts, as well as their application in a real world scenario at Magna Steyr, will be presented and discussed in this talk.

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Coming soon…

Thomas Pock

Professor of Computer Science at Graz University of Technology

Abstract

The SAMI4.0 workshop’s keynote will present recent activities in learning better models for inverse problems in imaging. We consider classical variational models used for inverse problems but generalize these models by introducing a large number of free model parameters. We learn the free model parameters by minimizing a loss function comparing the reconstructed images obtained from the variational models with ground truth solutions from a training data base. The talk will further show very recent results on learning “deeper” regularizers that are already able to capture semantic information of images.

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Thomas Pock is a Professor of Computer Science at Graz University of Technology (AIT Stiftungsprofessur “Mobile Computer Vision”) and a principal scientist at the Digital Department of Safety and Security at the Austrian Institute of Technology (AIT). The focus of his research is the development of mathematical models for computer vision and image processing in mobile scenarios as well as the development of efficient algorithms to compute these models.

Michael Prohammer

Director, Process and Equipment Development in Multiayer Technology at EPCOS OHG

Abstract: Maintenance 4.0 Concepts @ EPCOS OHG

In 2016 a Maintenance 4.0 approach within EPCOS OHG was introduced in order to identify the potential of state of the art maintenance concepts by using principles of the Industry 4.0 approach. Target are increased Machine availability, reduced Maintenance costs as well as a reduced stock of spare parts.An automated Piezo-Actuator Assembly line was chosen as a pilot system. The improvement concept includes a new platform which integrates and synchronizes machine status data, downtime information data as well as product status data from the line. These data are used to trigger automatized maintenance orders to the maintenance system. In the next step, a standardized classification for maintenance activity by the operators is created.It will be the basis for an automated proposal list for fault repairs at the line.

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Born in Linz, Austria in 1961. PhD studies of Physics at TU Graz  1979 – 1987.
Post Doc Studies at McMaster University in Hamilton, Ontario, Canada in Theoretical Solid State Physics 1988-1990. Since 1991 Member of EPCOS OHG, Deutschlandsberg, Austria. 2008- 2016 Director of Ceramic Powder and Tape Technology and since 2016 Director of Process and Equipment Development for Multilayer Technology in the Piezo- and Protection Devices Business group.

Christian Rechberger

Univ. Prof. for Applied Cryptography, Graz University of Technology

Abstract: Fundamental enablers: Cryptography and Blockchains

Cryptographic building blocks are the very foundation of all things secure. After we review the status quo, we discuss a new generation of cryptographic approaches incl. the blockchain concept, and how they are enabling new businesses and help innovators.

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Christian Rechberger is professor for applied cryptography at Graz University of Technology in Austria. Earlier he held positions at DTU in Denmark, ENS in France, Microsoft Research in USA, and KU Leuven in Belgium. He is especially known for his analyses of globally used cryptographic mechanisms. His research interest span fundamental and applied topics in areas such as security, cryptology, and privacy.

Gerhard Schiefer

Vice President Global Andritz Automation at Andritz AG

Abstract

As the IIoT (Industrial Internet of Things) will be a core topic in the future to maintain and enhance the ability to compete, ANDRITZ has combined its innovative IoT (Internet of Things) solutions, which is field-proven in many reference plants, with immediate effect under the technology brand “Metris”.
Based on extensive and long-term experience as a supplier of technologies and systems for various branches of industry, ANDRITZ offers a broad portfolio of intelligent, digital solutions that provide significant help to customers in achieving their production and corporate goals.

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Gerhard Schiefer, Vice President ANDRITZ Automation has worked since 1990 for ANDRITZ AG and has gained expertise in software R&D work for biotechnology control systems, image processing for steel mills, project execution for automation systems of environmental and pulp and paper business, engineering management for software and hardware engineering and functionally leading the ANDRITZ AUTOMATION group on a global basis within ANDRITZ.

Gerhard Schiefer holds a graduation in electrical engineering and has worked in micro electronic business as a development engineer for simulation software before joining ANDRITZ AG.

Gerhard Schiefer is recently taken over responsibility for the digitalisation initative of the ANDRITZ group, focusing on the operation technology (OT) development. He lives in Graz.

Franz Weghofer

Manager Technology Control at Magna Steyr

Abstract

The line between the digital and the real world is increasingly blurred. This includes the essential requirement of building a “digital twin” to trace the interactions between the virtual and real worlds as a basis for the implementation of the Smart Factory.