More keynote speakers will be published in the future.

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.


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, 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 platform.  We focus mainly on practical implementations or BM Innovations paths as supported by our toolset and platform.


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


Coming soon…


Coming soon…

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.


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…


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: Chusapedia: Knowledge-Based Design of Applications that support Human Choice

A great many interactive computing systems – ranging from complex decision support systems to small parts of mobile applications – have the function of helping people to make better choices in some particular domain. Anyone who designs (or evaluates) a system of this type should make use of existing knowledge about (a) how people make choices and (b) how computing technology can help people make better choices. There exists a vast amount of knowledge about these questions, but it is difficult for designers to make good use of it: The knowledge is spread over many lines of research in psychology, computer science, and other fields, which use different conceptual frameworks and adopt complementary perspectives.

The web-based system Chusapedia addresses this problem. Its core is a collaboratively constructed semantic wiki (built on the same basic platform as Wikipedia) whose pages describe in a coherent way knowledge from a wide variety of sources relevant to the support of human choices. The semantic links in the wiki enable functionality that makes it possible for designers to use the integrated knowledge actively and systematically when designing or evaluating a choice-supporting application – and also to see how Chusapedia’s knowledge base is related to models and concepts that the designer is already familiar with.

In this talk, I will motivate and briefly demonstrate Chusapedia, showing how it can help i-KNOW 2017 participants with different roles to solve problems of interest to them – and also how they can contribute their own knowledge and design solutions to Chusapedia so as to make it more specifically useful for the types of application that they are interested in.

More detail and hands-on experience will be conveyed in the related tutorial titled “Using Chusapedia to Design Applications That Support Human Choice”.


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.


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.

Bernhard Niedermayer

Software Architect, Team Lead, Catalysts GmbH


Coming soon…


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.


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.


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’.