Guest Lecture Announcement - Dr. Tobias Bürger, BMW Group


As part of the Data Science SoSe21 lecture, Dr. Tobias Bürger from the BMW Group will speak as a guest on 11.06.2021. The lecture will take place on 11.06.2021 from 11:45-12:45pm via the Zoomportal.

Meeting link:

Lecturer: Dr. Tobias Bürger, BMW Group

Title: AI and Machine Learning at the BMW Group: use cases and challenges

Abstract: Dr. Tobias Bürger is responsible for platforms and use cases that handle huge amounts of data at the BMW Group. He will lay out the journey of the BMW Group in the area of Big Data, machine learning and AI and present use cases and its challenges that are situated in areas like autonomous driving, vehicle development, aftersales or Connected Drive.

More Information:

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Master Defense Talk


Dusan Dokic, student assistant at the Chair, gave a presentation of the results of his Master's thesis to Professor Wolfgang Maaß and other members of the Chair on 02 June 2021 at 1pm.
The topic is "Development of a data quality index for the monetary valuation of data".

Abstract: Although data is considered one of the essential resources for businesses today, no universally applicable method exists to express its value in monetary units. This work identifies that the lack of quantifying methods for data quality is one of the main reasons as it is one of the primary value drivers of data. Sixteen dimensions fit to represent the multidimensional concept of data quality have been derived from literature to solve this problem. These dimensions have been used as indicators for developing a data quality index to make the quality of data within a database or a company quantifiable and comparable. The metrics for the indicators have been derived from the literature in part and were developed using data rules and approved metric building approaches. A survey on data experts in companies has further proven the validity of the dimensions and their importance for the multidimensional concept of data quality. The results of the study, conducted in the scope of this work, are shown and discussed. The weights of the index have been determined based on the expert rating method using the survey results. An index, which uses the indicator values and corresponding weights to calculate the value of the data quality and expresses it in a number between 0 and 100, is then developed. Finally, possible use cases for the index application have been given, and its relevance to the overarching goal of the monetary evaluation of data has been discussed.

Bachelor Defense Talk


Matthias Petry gave a presentation of his Bachelor's thesis to Professor Wolfgang Maaß and other members of the department on 28 May 2021 at 3pm. The topic is "Towards Machine Learning-based anomaly detection for machine sound".

Abstract: In recent years, abnormal machine noise detection has become an important issue in the industrial process, especially in the early detection of defective machines. Therefore, in this paper, the process of anomaly detection is considered from the perspective of classical machine learning and deep learning algorithms. The aim of the work is to apply different unsupervised and semi-unsupervised Machine or Deep Learning algorithms to audio files of machine sounds and to present this in a user interface. To analyse the applied algorithms, two datasets each are used for the classical machine learning approach and the deep learning approach, where one is used to validate the results of the algorithms and the other is used to actually detect anomalies. The MIMII dataset is used to validate the classical machine learning approach and an ECG dataset is used for the deep learning approach. For the actual detection of anomalies, a dataset from the Leibniz Institute for Materials Oriented Technologies is used.

Guest Lecture Announcement - David Krings, Aifora GmbH


As part of the Data Science SoSe21 lecture, David Krings from the Aifora GmbH will speak as a guest on 04.06.2021. The lecture will take place on 04.06.2021 from 11:45-12:45pm via the Zoomportal.

Session link:

Speaker: David Krings, Aifora GmbH

Title: Data Science in Retail

Abstract: Aifora was founded in February 2018 with the vision of connecting retailers to collectively counter the increasing dominance of the leading online players. Aifora's two founders recognised retailers' ongoing struggle for survival and set out to transform the future of retail with powerful AI-driven solutions. Today, Aifora is a growing team of retail, IT and data science experts with a passion for solving complex problems and delivering great service to their customers. Using artificial intelligence, the Aifora platform forecasts demand per item, location and channel to make optimal merchandising decisions. This leads to significantly higher efficiency and profitability. Aifora's solutions for automated sales, inventory and markdown optimisation are characterised by maximum transparency. The data quality on the basis of which the application makes decisions is visible to the customer at all times.

More Information:

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Guest Lecture Announcement - Dr. Oana Carina Suciu, Orbis AG


As part of the Data Science SoSe21 lecture, Dr. Oana Carina Suciu from the Orbis AG will speak as a guest on 28.05.2021. The lecture will take place on 28.05.2021 from 11:45-12:45pm via the Zoomportal.

Meeting link:

Lecturer: Dr. Oana Carina Suciu, Orbis AG

Title: Machine Learning Platforms with a focus on Azure

Abstract: As cloud computing offers flexibility in terms of managing resources like storage amount or computer power, data scientists do not have to concern themselves with possible hardware limitations anymore. Cloud provider like Microsoft, Amazon or Google all offer machine learning platforms which allow data scientists to leverage computer power in accordance to their needs. In doing so, reliable, secure and elastic environments are created which simplify the access to data sets and the application of machine learning algorithms and data science techniques. These so-called machine learning platforms follow the infrastructure as a service (IaaS) approach and provide the tools to make project work more efficient and effective by helping with the handling of hyperparameters and the selection of appropriate algorithms, among others. One of the more prominent machine learning platforms is the Azure Machine Learning Platform by Microsoft. In a hands-on manner, the lecture by Dr. Oana Carina Suciu discusses the end-to-end machine learning process using the Azure workspace and provides valuable insights into the pro developer’s machine learning experience using Python, as well as different frameworks like TensorFlow or Pytorch.

More Information:

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Algorithms, Automation and Work- AI Conference


Can AI make our work and our lives better? And if so, how? This is the question being addressed at the AI conference "Algorithms, Automation and Work" organised by the Federal Ministry of Labour and Social Affairs and the "Denkfabrik Digitale Arbeitsgesellschaft". In addition to dealing with questions and aspects around the topic of artificial intelligence, Hubertus Heil, Federal Minister of Labour and Social Affairs, opened the Future Centres AI on 19 May. These form a funding programme to support small and medium-sized enterprises in the introduction of AI systems.

We are proud to be involved in the Future Centres with our research project Zukipro: "Future Centre for Human-Centred Artificial Intelligence in Production" and thereby support the establishment of the Future Centre in Hesse.

Press Release "Smart data for smarter decisions: How AI is helping industrial production run more smoothly"


Using artificial intelligence to prevent production downtime: Professor Wolfgang Maaß and his partners are developing a system that helps entrepreneurs to recognise disruptions in production at an early stage so that they can react appropriately. In addition, this new data system not only helps with potential error analysis, but also provides suggestions for remedial action.

At the digital Hannover Messe from 12 to 16 April, Professor Wolfgang Maaß will present the "SPAICER" project as well as the new data systems. A detailed press release on this topic was published on the international news service IDW.

The full press release can be found at:

More Information:


Press Release "Hannover Messe: How artificial intelligence is helping make food production smarter"


Smart data packages are providing food producers with greater insight, making production greener and more cost-efficient, but also generating new revenue streams. Because we see a great opportunity for the climate in the digital platform we are developing: the more producers know about the harvest, purchasing behaviour or the prices and available quantities of the resources needed for production, the more precisely and far-sightedly they can plan. All thanks to a platform currently being developed by a research team led by Wolfgang Maaß.

At the digital Hannover Messe from 12 to 16 April, Professor Wolfgang Maaß will use the "Evarest" project to demonstrate how data can become a secure commodity - without giving away know-how or business secrets. A detailed press release on this topic was published in the Saarbrücker Zeitung and other digital news services.

The full press release can be found at:

More Information:


Project EVAREST developed GAIA-X Use Case "FAST"

We, from the Chair, are pleased to inform you that the GAIA-X Use Case "FAST" developed from the EVAREST project has now been published on the BMWi and GAIA-X websites

FAST is a decentralised data marketplace generated for trading data and algorithms in the context of food production with the basic idea of a European, legally secure and sovereign data infrastructure. The implementation of the FAST use case would create a data ecosystem that can sustainably build and support a platform economy that is also based on the market conditions and needs of the actors in the food industry.

GAIAX UseCase Fast:


Bachelor Defense Talk


Pascal Ahiagble, student assistant at the chair, will give a presentation of his bachelor thesis to Professor Wolfgang Maaß and other members of the chair, on March 31, at 15:00.
The topic is "Approaches to automated quality determination of databases in companies - an overview".

Abstract: The activities of many companies and institutions are heavily dependent on data, which play a very important role in the control of business processes and decision-making. Poor quality data can therefore have a significant economic impact on the organisation (Wang & Strong, 1996, p.5). This paper deals with the different approaches to determine the quality of databases that are created and used in companies. The aim is to determine this quality automatically. In order to achieve this goal, in the first position, the quality criteria found in the literature (cf. Lee, et al., 2006) (cf. Pipino, et al. 2002) (cf. Batini & Scannapieca, 2006) (cf. Batini, et al 2009) (cf. Levitin & Redman, 1995) are considered in order to highlight their role in quality determination. Subsequently, the metrics that can be used for these different quality criteria are presented. So that the whole thing does not remain abstract, a prototype is prototype will be designed, which shows how an automated quality quality assessment of databases in a company can be carried out. Based on heuristics, and a data-centric approach as well as an unsupervised machine learning algorithm DBSCAN (DBSCAN, 2007), it succeeds in defining certain criteria for the criteria in the automated assessment of data quality, so that data consumers do not have to provide a context for it. Thus, with one click, the criteria such as completeness, accuracy, consistency and integrity are automatically taken into account in the quality automatically. Advanced research can contribute to the development of additional even more criteria for the automatic assessment of DQ (data quality). into account. This can be the case, for example, for the criterion timeliness, which requires additional temporal input.

New Project "Future centre for human-centred AI in production work".


We are pleased to announce that our project "Future Centre for Human-Centred AI in Production Work (zukipro)" will be funded by the Federal Ministry of Labour and Social Affairs from 1 March 2021 to 31 December 2022 as part of the programme "Future Centres (KI) - Supporting small and medium-sized enterprises and employees in the exemplary and participatory testing of new technologies, such as artificial intelligence, for operational practice".

Based on an analysis of regional needs and existing offers, the objective is to develop AI-based solutions and digital skills in a participatory manner with employees and social partners and to make them widely usable. This is done with a special focus on SMEs in the manufacturing sector. The ZuZ serves as a neutral contact point for SMEs, funding bodies, providers and social partners.

The aim is to develop a consultancy portfolio and conduct workshops with manufacturing SMEs to provide AI basics, an overall view of AI technologies, AI strategy, management and engineering, as well as case studies and best practices to prepare SMEs for an AI-driven future.


Research Workshop: Talk Dr. Gene Moo Lee


Thanks to Dr. Gene Moo Lee, from the Sauder School of Business of the University of British Columbia, who presented his exciting work and MISQ Paper on „Enhancing Social Media Analysis with Visual Data Analytics: A Deep Learning Approach“ to our PhD Students on 2nd of March! We enjoyed the interesting presentation and discussion round. We look forward to future collaborations.

Abstract: This research methods article proposes a visual data analytics framework to enhance social media research using deep learning models. Drawing on the literature of information systems and marketing, complemented with data-driven methods, we propose a number of visual and textual content features including complexity, similarity, and consistency measures that can play important roles in the persuasiveness of social media content. We then employ state-of-the-art machine learning approaches such as deep learning and text mining to operationalize these new content features in a scalable and systematic manner. For the newly developed features, we validate them against human coders on Amazon Mechanical Turk. Furthermore, we conduct two case studies with a large social media dataset from Tumblr to show the effectiveness of the proposed content features. The first case study demonstrates that both theoretically motivated and data-driven features signifi- cantly improve the model’s power to predict the popularity of a post, and the second one highlights the relationships between content features and consumer evaluations of the corresponding posts. The proposed research framework illustrates how deep learning methods can enhance the analysis of unstructured visual and textual data for social media research.

Full Artikel: MIS Quarterly

Study participants wanted!


As part of the research project "Future Data Assets", which is funded by the German Federal Ministry for Economic Affairs and Energy, the Chair of Business Administration (esp. Information and Service Systems) of Univ.-Prof. Dr.-Ing. Wolfgang Maaß, at Saarland University, is conducting a study on the quality of customer data in companies and its impact on the value of data.

The aim of this study is to investigate the impact of data quality, which is composed of several dimensions, on the value of data. To do this, it is necessary to identify these data quality dimensions, as well as the extent of their influence on data quality as a value driver. This effort is guided by the overarching goal of enabling the monetary valuation of data. The questionnaire is aimed at an organization's data professionals (e.g., data managers, data scientists, data analysts, data engineers, or simply whoever may be responsible for data in your organization). By participating in the survey, your company would help make the value of data in your organization visible and quantifiable in the future. The questionnaire takes approximately 10 minutes to complete and is in English. You will be asked to rate each dimension of data quality according to its importance, on a scale from 1 (very important) to 9 (Not important at all). For all dimensions you will receive corresponding definitions, which you can use as a guideline.

The link to the questionnaire:

Bachelor Defense Talk


Kian Dousti will have his bachelor thesis interim presentation via MS Teams on Thursday, February 11th at 16:00. The topic of the presentation is: "KI-Algorithmen zur Umsatzprognose basierend auf Datenqualität - ein Überblick".

Abstract: In recent years, data quality has become increasingly relevant in both theory and practice due to the increased use of data warehouse systems and management support systems. As a result of the rapidly growing field of computer science, numerous researchers have demonstrated the potential of machine learning models to produce accurate revenue forecasts and, ultimately, profits. The goal of this paper is to provide an overview of AI algorithms for revenue forecasting based on data quality. For this purpose, methods for evaluating data quality from the literature, different AI algorithms and similar ML problems from literature are presented. Furthermore, a prototype is presented as a proof of concept based on an implementation. The results show that, on the one hand, there is an overlapping set of dimensions for DQ evaluation and, on the other hand, similar ML problems from the literature have an overlapping approach to solve. The SVR algorithm would theoretically be best suited for the problem of this thesis due to its performance however it is not worthwhile to weed out other algorithms in advance due to the simplicity of implementation. Further research could still address a larger number of dimensions and methods for evaluating DQ. Furthermore, one could still optimize the parameters of the AI algorithms and the user interface.

Translated with (free version)

German Research Center for Artificial Intelligence (DFKI) supports GAIA-X project in NRW as an associated partner


The German Research Center for Artificial Intelligence GmbH in Saarbrücken of Prof. Dr-Ing. Wolfgang Maaß from Saarbrücken supports as an associated partner in the area of Other/AI.

The DatenMarktplatz.NRW, as a federated, decentralized IoT data space, makes the shared data of participating members discoverable and accessible worldwide. The aim of the DatenMarktplatz.NRW is to create data spaces. This creates a data exchange from which new business models and services can emerge.

Workshop on Information Technologies and Systems (WITS) 2020: Presentation of Nurten Öksüz and Professor Wolfgang Maaß' demo-paper

16.-18. December 2020

The annual Workshop on Information Technologies and Systems (WITS) was held between December 16-18 2020.

During the conference, Nurten Öksüz and Professor Wolfgang Maaß had the opportunity to present their scientific demo-paper „A ML-based Smart Retail Service Prototype using Biosignals“ . WITS is an international conference that serves researchers, scholars, professionals, students and academicians looking to foster both working relationships and gain access to the latest research results. Due to the current situation, the conference was held online for the first time. 

International Conference on Information Systems (ICIS) 2020: Presentation of Nurten Öksüz and Professor Wolfgang Maaß' paper

13-16 December 2020

The annual International Conference on Information Systems (ICIS) was held between December 13-16 2020. During the conference, Nurten Öksüz and Professor Wolfgang Maaß had the opportunity to present their scientific paper "A Situation-specific Smart Retail Service based on Vital Signs".

The annual International Conference on Information Systems (ICIS) is the most renowned gathering of IS academics and research-oriented practitioners in the world. Considered the most exclusive AIS conference - and one of the most exclusive in the entire industry - it attracts the best research papers and their authors from around the world to provide an invaluable networking and research experience. Every year over 1300 researchers attend the conference. Due to the current situation, the conference was held online for the first time. In the session "Human Computer Interaction, Artificial Intelligence, and Intelligent Augmentation", the results of the paper Öksüz, N., Maass, W. (2020): "A Situation-specific Smart Retail Service based on Vital Signs", ICIS2020 were presented by Nurten Öksüz. The session was well attended with over 60 participants. The focus of this paper is on analyzing customer behavior during a shopping experience. It examines this behavior from a neuroscientific perspective using machine learning methods in order to analyze the customer's perceived stress level. For this purpose, a laboratory experiment was conducted in which subjects were equipped with heart rate sensors and a smartphone during a shopping scenario. The analysis showed that heart rate and acceleration can help predict the occurrence of shopping stress in order to provide customers with matching real-time services.


Online-Talk "Creation and Trade of Data Products in Industry 4.0 by Smart Services"

Professor Wolfgang Maaß participated in the online talk "Creation and Trade of Data Products in Industry 4.0 by Smart Services" at the School of Economics und Management, Xidian University 西安电子科技大学.

By kind invitation of Prof. Rong Duxian Professor Wolfgang Maaß presented research conducted by the AI research project EVAREST.

Deutsches Forschungszentrum für Künstliche Intelligenz (DFKI), Chocoladefabriken Lindt & Sprüngli GmbH, FIR, SoftwareAG Harald Schöning, Universität des Saarlandes, I4SE, BMWI.

SPAICER presentation on virtual delegation trip "UK meets Germany"

Professor Wolfgang Maaß participated in his first virtual delegation trip "UK meets Germany", organized by the Bundesministerium für Wirtschaft und Energie (Federal Ministry of Economics and Energy).

There he had the opportunity to present the AI flagship project SPAICER. The discussion was centered around AI/Data-driven research projects and collaboration with research and industry. Professor Wolfgang Maaß believes that UK, Germany and other European countries should join forces: "We should not focus on a competition between European nations but between powerhouses, in particular US, China, potentially India and Europe. Coopetition on European level is what we need."

Organizers and participants: Alexander Tettenborn, Andreas Hartl, Regine Dr. Gernert, Frank Leymann, Sara E. Sandeep Sandhu , David Leslie (The Alan Turing Institute), Aljoscha Burchardt.

Master Defense Talk


Mirza Misbah Mubeen Baig, research assistant at the chair, gave a presentation of her master thesis to Professor Wolfgang Maaß, Sabine Janzen and other members of the chair last monday.
The Topic is "Classification of Sensory Data under Resource Constraints".

Abstract: In today’s world, the paradigm of using machine learning model on a device is not so common. The closest thing we have is either (i) training a ML model on cloud or (ii) train a model on highly equipped machines and store trained model on cloud. We implemented machine learning on server less system where only an edge device is responsible for machine learning to happen. The designed algorithm costed sub-linear memory to train a network. Through this thesis we tried to evaluate the performance of the model if it is trained at runtime on device with limited resources. We used 5 option for memory resources and 4 options for training time and evaluated the performance of the model. The question catered during the thesis are like How model changes it behaviour on changing designated resources? During this work the accessible assets are mostly devoured by three sources: 1) the ML model itself; 2) the advancement procedure that learns the model; and 3) the data-set utilized for learning. The model we used is a specially designed DNN that allows training in sublinear memory cost. Utilization of computational graph analysis for automatic in-place operations and for reduction of cost by not storing intermediate results. The data we used is COVID-19 data set for germany of past 6 months, which is pre-processed and used as time-series based data.

Tutorial (online) on Pairing Conceptual Modeling with Machine Learning


Professor Wolfgang Maaß will give a Tutorial (online) on Pairing Conceptual Modeling with Machine Learning at the 39th International Conference on Conceptual Modeling. Thursday, Nov 5, 4:00pm-5:00pm. There is also a YouTube Tutorial for ER20 Tutorial "Pairing Conceptual Modeling with Machine Learning"

Master Defense Talk


Marcel Mutz, will give a presentation of his master thesis to Professor Wolfgang Maaß and other members of the chair on November 25, 2020 at 13:30.

The Topic is "Explainable AI for Industry 4.0: Decision Support Systems in Industrial Production".

Abstract: The current changes in the industry lead to new problems that have to be solved. AI applications must be fully understood in order to use them in a goal-oriented and efficient way. Decision makers must be able to trust the results. This can only be achieved if the models are understandable and comprehensible for every person involved. The literature mainly deals with the application of certain models, but leaves the question of the choice of model unanswered. The thesis deals with the prototypical development of an interpretable framework model for model selection in Industry 4.0, which provides users with an initial assessment of the machine learning model selection by answering questions and uploading the data set. Additionally, the recommendation is justified to ensure the interpretability of the system. First, the current state of the literature regarding interpretable AI and machine learning in the industry is analyzed. The resulting findings serve as a basis for the implementation of an interpretable system in order to create a model recommendation matching the user's specifications and data. For further verification, the system is applied in a case study of material quality. The framework model helps for the first application of machine learning in the company. It is also possible to embed the system as a module in a fully interpretable machine learning system. The overall goal of the work is to establish machine learning in industry, so that ML will be a core competence of industry in the future.

Master Defense Talk


Frederic Habermann, will give a presentation of his master thesis to Professor Wolfgang Maaß and other members of the chair on November 11, 2020 at 13:30.
The topic is "Resilience as a guiding concept for companies - a systematic literature analysis".

Abstract: The concept of resilience has taken its place in numerous academic disciplines. Nearly every scientific and social research area is concerned with it. Different uses lead to different methods, sometimes to different methodologies, which does not imply a uniform concept of resilience. A high degree of complexity is required to identify commonalities and overlaps in the applications of this "broadband concept". In the sense of a current inventory of individual disciplines, common indicators and characteristics are to be identified from the multiple concepts of resilience in order to generate a broad interdisciplinary perspective for the concept. Exemplarily for the present master thesis the three disciplines psychology, economics and social-ecology are picked out, which are of central importance for the resilience discourse. The central issue here is to investigate whether there is cross-disciplinary cross-learning within the different facets in order to derive central implications for a guiding concept for companies. Furthermore, due to the business and entrepreneurial proximity, organizational resilience is systematically analyzed as a major component of the guiding concept and integrated into the cross-disciplinary consideration.

Master Defense Talk


Hannah Stein, research assistant at the chair, gave a presentation of her master thesis to Professor Wolfgang Maaß and other members of the chair last Thursday.
The Topic is "Cost-driven Monetary Valuation of Data".

Abstract: Data are the most significant intangible asset for the 21st century enterprise. Mainly captured in business transactions, they are considered to enhance productivity and realize business value. Despite their high relevance, data are seldom recognized in balance sheets, due to lacking accounting guidelines for identifying, recognizing, measuring and valuing data as an intangible asset. This work synthesizes the accounting and information systems view on data value in combination with usage and quality, in order to derive a cost-driven monetary valuation method. Specific data characteristics are derived and valuation methods reviewed. The conduction of semi-structured expert interviews (n=6) leads to a more in-depth knowledge on how to monetary value data. A cost-driven valuation method is conceptualized based on data characteristics, existing methods and requirements from the expert interviews. An exemplary application leads to determining the value of a customer database.

Press release on the launch of research project SPAICER


New lighthouse project to make the future more predictable for companies.

No raw materials due to a corona pandemic, collapse of supply chains due to low water in rivers, or a production stoppage caused by a wearing part: in the networked and highly technological world of business, the proverbial flapping of a butterfly's wings can put companies in trouble. Risks and costs are immense. The German Research Center for Artificial Intelligence and Saarland University, together with partners from science and industry, want to make thefuture more predictable and ensure that companies have the right plan B in their pockets. The Federal Ministry for Economic Affairs and Energy and participating companies are supporting the lighthouse project with a total of more than ten million euros.

Nowadays, automotive suppliers often do not have a large warehouse, but rely - as do many other industries - on "just in time" production: They order their required components and raw materials at short notice, if required. Butthis also makes their business extremely risk-prone. If only one link in the supply chain fails - whether due to a corona pandemic, trade barriers resulting from political conflicts or other imponderables such as low river levels - production comes to a standstill. "Such an assembly line standstill can develop into a massive production collapse. It can take months before normal conditions are restored. Production interruptions and the breakdown of supply chains have been the number one business risk for many years," says Wolfgang Maaß, Professor of Business Informatics at Saarland University and head of the Smart Service Engineering research department at DFKI.Together with a consortium of partners from science and industry, Maaß wants to make the future more predictable for companies: As part of the "Spaicer" project (short for "Scalable Adaptive Production Systems through AI-based Resilience Optimization"), they are developing a new data system that uses artificial intelligence to enable companies to recognize potential disruptions in production at an early stage and respond to them in the best possible way. The platform is intended to provide concrete suggestions on how entrepreneurs can take countermeasures in individual cases. "Our goal is to strengthen the so-called resilience of companies, i.e. their ability to permanently adapt to internal and external changes and disruptions and to stably survive difficult situations. Industry 4.0 in particular is making production increasingly complex. Resilience management is thus becoming an indispensable success factor for production companies," explains Wolfgang Maaß."This is an important topic, especially when you know what high risk potential for companies lies in the interruption or delay of supply chains. As the government of the Saarland, we therefore have high hopes for Spaicer's work as a lighthouse project for artificial intelligence," emphasized Minister-President Tobias Hans at the start of the project. The Spaicer system is not only intended to make the probable effects of imminent pandemics on production transparent, but also to provide recommendations for optimized production planning in the event of political conflicts. "To this end, trend analyses for raw material prices and analyses ofpolitical contributions, for example, are continuously fed into the system in order to predict disruptions such as the failure of suppliers," explains Maaß. The researchers also feed their platform with, among other things, forecast water levels, temperature developments, holiday periods or trends in the logistics industry. Algorithms use all this data and information to calculate proposed solutions. "Possible courses of action for the automotive supplier from the example mentioned would be, for example, to expand the supplier network, optimize the order volume, distribute production to more locations or adjust inventories. Depending on the situation, supply chains can be stabilized in good time, for example by early, alternative logistics planning via roads, railways and waterways or by requesting replacement suppliers," explains the business information specialist.

The system is also designed to arm companies against internal threats through predictive maintenance. "For a medium-sized company, the unplanned replacement of a component due to wear and tear can result in costs of up to 500,000 euros per hour," says Maaß. In this case, the system will use artificial intelligence and a wide variety of machine learning methods to classify malfunctions and recommend suitable measures, amongother things.

The Federal Ministry of Economic Affairs and Energy and the companies involved will invest more than ten million euros in this research over the next three years. "The Spaicer project is an important building block in solving the question of how our economy can emerge resiliently through current and future crises," explains Dr. Alexander Tettenborn, Head of the Department for the Development of Digital Technologies at the Federal Ministry of Economy. The Spaicer consortium was able to successfully assert itself against strong, national competition as a lighthouse project in the AI innovation competition "Artificial Intelligence as a driver for economically relevant ecosystems".

The project was officially launched in April. In addition to the German Research Center for Artificial Intelligence (DFKI), which is acting as consortium leader, and the University of Saarland, Spaicerinvolves the Machine Tool Laboratory (WZL) at RWTH Aachen University, the University of Freiburg, the Technical University of Darmstadt, the Institute for Technology and Innovation Management at RWTH Aachen University, the Otto Beisheim School of Management (WHU), deZem, Feintool, SAP, SCHOTT, SCHAEFFLER, SEITEC, SENSEERING and Waelzholz. Over 40 associated partners support the project consortium with important practical knowledge.

Consortial meeting Future Data Assets


On April 30, 2020, the third consortial meeting of Future Data Assets took place as a video conference.

Aim of the project, funded by the Federal Ministry of Economics and Energy, is to develop a framework for the monetary valuation of company data, as well as a standard for reporting data value. The Chair ISS is investigating possible valuation rules for data as well as the implementation of AI methods for a semi-automated, transparent and comprehensible valuation of data in terms of a Responsible AI. The technical basis is a data balance platform without a central instance for local, secured analysis of data sets.

Within the third consortial meeting, Chair ISS, represented by Hannah Stein and Luisa Barton, presented approaches for structuring data portfolios and characterizing data streams. Additionally, the first results of the requirements analysis for the data balance platform were presented. The partners FIR at the RWTH Aachen, Atlan-Tec presented first approaches for the specification of a data catalogue and for the development of a balance structure. DMG Mori reported about the cooperation with the Austrian cooperation partner Swisdata, which supports the project in the context of a bilateral cooperation with Austria of the "Smarte Datenwirtschaft"-funding program. The company Deloitte presented a study that analyses the use of data in the final reports of 30 TecDax companies. In addition, the partners of Deloitte presented the status quo of the valuation of data based on current accounting standards.

Despite the unusual atmosphere of the consortium meeting, there was always a lively discussion on the specific project topics throughout the consortium meeting.

In addition to the consortial partners, representatives of the DLR project management organization and associated partners of Georg Fischer AG, Kuraray and Covestro took part.

NEW: Course "Social commitment"

The department of economics at Saarland University acknowledges practical social commitment against the background of the corona crisis.

Business students have the opportunity to gain social competences by supporting health facilities like the university hospital. To bring the course in to the study, a workload of 180 hours (= 6 Credit Points) is necessary. The course will take place in summer semester 2020 and is also planned for winter semester 2020/2021.

Registration is open until May 15

More Information can be found here.

Questions will be answered by: Prof. Dr.-Ing. Wolfgang Maaß (Chair in Business Administration esp. Information and Service Systems) Tel.: 0681 302 64736; E-Mail:

Start of our research project SPAICER

1 April 2020

Today our currently largest research project SPAICER starts. Together with our project partners we are looking forward to the upcoming kick-off and the next three years of exciting cooperation.

A total of 16 large collaborative projects emerged as winners from the competition phase of the AI innovation competition of the Federal Ministry of Economic Affairs and Energy (BMWi). Among them is the SPAICER consortium, which successfully prevailed against strong national competition and will be funded with more than 10 million euros for three years from 1 April 2020

In addition to the German Research Center for Artificial Intelligence (DFKI), which acts as coordinator, the Machine Tool Laboratory (WZL) at RWTH Aachen University, the University of Freiburg, the Technical University of Darmstadt, the Institute for Technology and Innovation Management at RWTH Aachen University, the Otto Beisheim School of Management (WHU), deZem, Feintool, SAP, SCHOTT, SCHAEFFLER, SEITEC, SENSEERING and Waelzholz are involved in SPAICER. Over 40 associated partners support the project consortium with important practical knowledge.

The SPAICER project develops a data-driven ecosystem based on life-long, collaborative and low-threshold Smart Resilience Services using leading AI technologies and industry 4.0 standards with the aim of anticipating disruptions (anticipation) and optimally adapting production planning to active disruptions at any time (response).


EVAREST at the ISM 2020 / ProSweets Cologne

4th February 2020

In the context of the International Sweets and Biscuits Fair, ISM 2020 for short, Dr. Sabine Janzen spoke about the EVAREST consortium project and its relation to the confectionery and food industry in general.

The trade fair, which takes place in Cologne, is regarded as the world's leading event for the confectionery and snack industry. The keynote on the "Generation and exploitation of data products in the food industry through smart services" showed the potential of the EVAREST research project and its direct implications for the industry. The aim of the project, which is funded by the Federal Ministry of Economics and Energy (BMWi), is the development and exploitation of data products as an economic good in the food production ecosystem.



28th April

On the 28th April we will kick off our project SPAICER together with the consortium. The event will be held in Saarbrücken at the DFKI - Stay tuned!

Project Future Data Assets: Interview with


In the context of Industry 4.0 companies still leave a lot of potential - Prof. Maaß describes how companies can increase their economic success by using and evaluating data.

Click here for the interview:

EVAREST Consortial Meeting

23rd and 24th January 2020

On 23rd and 24th January the consortial meeting as part of the project EVAREST took place at DFKI in Saarbrücken.

The objective of the project is the development and utilization of data products as economic goods in the ecosystem "food production". During the two-day-meeting relevant topics were discussed in interactive workshops.

Together with all consortial partners as well as representatives of DLR and BMWi important subjects were evaluated. On day 2 for example the participants talked about licensing concepts, calculation rules, smart contracts and architecture development. The aim was to identify requirements for the project EVAREST.


EVAREST AP 2 Workshop


On January 14th as a part of the EVAREST project a Requirements Engineering took place in Saarbrücken.

The objective of the project is the development and utilization of data products as economic goods in the ecosystem "food production". In the second work package with the title "requirements analysis" Smart Service Engineering developed an appropriate Requirements Engineering procedure model. Goal of this RE procedure model is the development of requirements for a data marketplace.

Together with representatives of all consortial partners the implementation of the procedure model has been tested. In the workshop business use cases were analyzed and future scenarios discussed. In follow-up to the workshop the requirements for the EVAREST data platform were derived.


Projekt Future Data Assets - Neue Pressemitteilung


Anreiz für Investitionen in KI: So soll der Wert von Daten für Unternehmen sichtbar werden

Der Mittelstand scheut heute noch Investitionen in Künstliche Intelligenz. Für die meisten Unternehmen sind Daten etwa aus Produktion oder Instandhaltung totes Kapital. Dabei sehen Wissenschaft und Politik gerade hier enormes Potenzial. Der Wirtschaftsinformatiker Professor Wolfgang Maaß und sein Team von der Universität des Saarlandes wollen den Wert solcher Daten sichtbar und für die Firmen durch intelligente Datenbilanzierung interessant und nutzbar machen. 2,3 Millionen Euro investiert das Bundeswirtschaftsministerium in diese Forschung, für die Wolfgang Maaß mit fünf Partnern aus Wissenschaft und Wirtschaft zusammenarbeitet. Über 330.000 Euro davon fließen auf den Saarbrücker Campus.

Unternehmen lassen sich heute riesige Gewinne entgehen. Einfach, weil sie aus den Daten, die zum Beispiel Sensoren in Fertigungsstraßen ohnehin sammeln, nichts machen. Oder auch, weil sie solche Daten erst gar nicht erheben. „Um es bildhaft auszudrücken: Dieses Feld liegt entweder brach, oder es wird schlicht nicht geerntet“, bringt es Professor Wolfgang Maaß von der Universität des Saarlandes auf den Punkt. Dabei ist es für die Künstliche Intelligenz, die vom Rohstoff bis zum fertigen Produkt Einzug in alle Unternehmensbereiche halten soll, unumgänglich, dass solche Daten ausgewertet und damit die Prozesse transparent werden.

„Im deutschen Mittelstand bestehen noch große Hemmnisse, in die digitale Transformation zu investieren. Die Unternehmen scheuen sich, Geld in die Hand zu nehmen, erkennen nicht das Potenzial, das hier liegt. Das wollen wir ändern“, erklärt der Wirtschaftsinformatiker. Gemeinsam mit Partnern aus Forschung und Wirtschaft will er belastbare Kenngrößen und Bewertungssystematiken für das unternehmerische Datenkapital entwickeln und so auch Anreiz für Investitionen liefern.

Der Wert von Daten ist schwer zu greifen und schwer zu beziffern. Ein Beispiel: Bis eine Industrieanlage perfekt eingestellt ist, alle Maschinen aufeinander abgestimmt sind und harmonieren, dauert es Jahre – egal ob am Ende Pizzen, Stahlbleche oder Autos vom Band laufen. Das Know-how, bei welcher Temperatur, welcher Schwingungsfrequenz, mit welcher Geschwindigkeit - oder was sonst noch an Daten einfließt - am besten produziert wird, ist Gold wert – aber: Wie viel?

Da fällt es schwer, große Investitionen in zusätzliche Sensoren oder Auswertungen zu begründen. „Die digitale Transformation erfordert Investitionen in Sachkapital, Software, in Aus- und Weiterbildung der Mitarbeiter“, sagt Wolfgang Maaß. „Es existieren derzeit aber keine standardisierten, belastbaren Kennzahlen, die den wirtschaftlichen Erfolg solcher Investitionen in die digitale Transformation beziffern. Daten, die im Zuge der Investition in die digitale Transformation anfallen, werden nicht systematisch finanziell bewertet und dem Management als Entscheidungshilfe zur Verfügung gestellt“, erläutert er.

Das Grundproblem ist, dass Unternehmen dieses Datenkapital bislang nicht in Bilanzen ausweisen können: Kaufmännische Bilanzkennzahlen sind handfeste Argumente. „Zwar kann meist genau beziffert werden, was investiert werden müsste. Unklar aber bleibt, wann und wie sich das auszahlt. Rückflüsse liegen meist in fernerer Zukunft oder können nur zusammen mit weiteren Projekten realisiert werden“, erklärt Maaß. Könnte den Daten, die ein Unternehmen hat oder zukünftig haben wird, ein Geld-Wert zugeordnet werden, würde dies viele Investitionsentscheidungen positiver ausfallen lassen.

Ziel des Projekts „Future Data Assets“ ist es, mithilfe von Verfahren maschinellen Lernens und Methoden Künstlicher Intelligenz eine Datenbilanz zu entwickeln. „Wir wollen ein Werkzeug schaffen, das der Unternehmensleitung die erforderlichen Datenbilanz-Kennzahlen liefert: standardisiert, stetig optimiert, automatisiert und an die jeweilige Branche angepasst“, erklärt Wolfgang Maaß.

Das Bundeswirtschaftsministerium fördert diese Forschung über das Technologieprogramm „Smarte Datenwirtschaft“. Im Rahmen des Projekts „Future Data Assets“ arbeitet Professor Wolfgang Maaß von der Universität des Saarlandes mit dem Forschungsinstitut für Rationalisierung FIR an der RWTH Aachen und Partnern aus der Wirtschaft zusammen: dem Unternehmen Atlan-tec (Konsortialführer), der Wirtschaftsprüfungsgesellschaft Deloitte, dem Werkzeugmaschinenhersteller DMG Mori AG sowie den Firmen Kuraray und Swissdata.



Prof. Dr.-Ing. Wolfgang Maaß

Lehrstuhlinhaber des Lehrstuhls für Betriebswirtschaftslehre, insbesondere Wirtschaftsinformatik im Dienstleistungsbereich an der Universität des Saarlandes.

Wissenschaftlicher Direktor Smart Service Engineering, Deutsches Forschungszentrum für Künstliche Intelligenz (DFKI)

Tel.: +49 (0)681 302-64736


Participants wanted for a "Shopping" Study

25. November - 20. December 2019

The chair ISS is looking for participants for a study on "Shopping". The task of the participants is to simulate a shopping situation within the framework of a laboratory study.

Time: 25.11.2019 - 20.12.2019

Duration: app. 30 Minutes

As a reward you get a 10€-Amazon voucher!


Registration under:


IT-Praktiker Camp 2019

15th October 2019

On 15th October IT Praktiker Camp 2019 of Streit systec GmbH took place in Freiburg. The main topic of the event was the use of Artificial Intelligence in companies. Prof. Dr.-Ing. Wolfgang Maaß was giving a speech about innovative IT solutions there. It's about how companies can use and benefit from digital change by solving problems with innovative solutions.


Full SPAICER proposal submitted

After winning the AI competition of the Federal Ministry of Economics and Energy (BMWi) against strong national competition, the full proposal has now been submitted successfully and on time by all consortium partners of the project SPAICER.

Special thanks go to all members of the team involved in the realisation and to the partners of the consortium. We are looking forward to a successful cooperation and an exciting project.



Key qualification: Projectmanagement

24th and 26th September 2019

On 24th and 26th September 2019 the key qualification project management for students of business administration and business informatics took place at German Research Center of Artificial Intelligence (DFKI) in Saarbrücken. The key qualification focused on IT project management and the example of the numerous and diverse research and industrial projects of the chair ISS and the research group Smart Service Engineering (DFKI) illustrates the practical procedure for the management of such projects.

The development of operational application systems and products with software and hardware components (IT systems) mostly takes the form of projects. When planning, organizing and managing projects, general methods of project management can be used, but IT-specific requirements and general conditions must also be taken into account. As part of the key qualification, the focus is therefore on the practice-oriented learning of both soft and hard skills. This includes Project Preparation, in particular application for research projects; Project Organization; Cost and Time Planning; Issue Management; Team Building & Management; Risk Management and Communication Management.

During the two-day event at DFKI in Saarbrücken 26 participating students were given a theoretical basic knowledge on the subject of project management, followed by group work, stakeholder analysis and development of the business context for projects EVAREST, SPAICER, FDA, PrädBioSys and EPO-Predict headed by Prof. Dr-Ing. Wolfgang Maaß. To successfully complete the key competences and obtain the 3 credit points, the students will work out their results in written composition, based on the findings from the 2-day event.

BMWi Forum Digital Technologies

19th September

On Thursday, 19th September 2019, the opening of the new Digital Technologies Forum took place in Berlin. As part of this, the research project SPAICER headed by Prof. Dr.-Ing. Wolfgang Maaß was rewarded as winner of the AI ​​Innovation Competition of the Federal Ministry for Economic Affairs and Energy.

The Forum Digital Technologies is a networking platform and exhibition space for selected research projects and innovations in the field of digital technologies from Germany concerning topics like Internet of Things, Big Data and Artificial Intelligence. Furthermore, the Forum offers a platform for more visibility and promotes exchange and knowledge transfer for research projects in these areas.

The official launch of the forum on 19th September was used to honor the winners of the AI Innovation Competition of the Federal Ministry for Economic Affairs and Energy (BMWi). In the scope of that SPAICER project was also rewarded by Dr. Ulrich Nussbaum, state secretary of BMWi. Thanks to this success, the SPAICER project is funded by the BMWi over a three-year implementation period.


Visit to DFKI by Australian Abassador

Today, the Australian Ambassador I.E. Lynette Wood visited the DFKI. Prof. Dr.-Ing. Wolfgang Maaß had the honour to present the DFKI.

In addition to an insight into the research areas and competence centres of DFKI, Ms Wood had the opportunity to ask questions about current DFKI projects on the topic of artificial intelligence. A special focus laid on the projects of the Smart Service Engineering Group under the direction of Prof. Dr.-Ing. Wolfgang Maaß. The projects SPAICER, EVAREST, WADA, Pathmate I + II as well as FDA , were addressed.


Future of Mobility

5th September 2019

"Future of Mobility Summit 2019" took place in Berlin on 5th September 2019. As part of the topic "Future of Mobility and its effects on the business models of TODAY and TOMORROW", Prof. Dr.-Ing. Wolfgang Maaß gave a lecture entitled "How artificial intelligence is revolutionizing the mobility industry?"

Future of Mobility Summit aims to explore the mobility of tomorrow. The interest and necessity of this can be attributed to the fact that more and more innovative technological applications are entering the mobility market and fundamentally changing it. The focus is on the effective design of mobility and transport, which requires good networking and good interfaces. That's why mobility market players come together at the Future of Mobility Summit to work together on these issues.

Apart from the two initiators Sven Göth and Martin Johann Fröhlich, numerous players from the mobility industry came together in Berlin on 5th September to discuss the future of mobility and to promote the aspect of sustainability and the environment. After five keynote presentations, the most important topics were discussed in small groups in order to find solutions. Subsequently, in the big round, these solutions were presented and debated again in order to develop a "Future Mobility Trend Map".



3rd September 2019

The SPAICER project wins the innovation competition "Artificial Intelligence (AI)" of the Federal Ministry of Economics and Energy (BMWi).

Production companies struggle with disruptions every day. These can be external disturbances, such as delays in logistics, raw material shortages and politically motivated trade barriers, but also internal disturbances, such as illness, tool breakdowns and production stoppages. The AI lighthouse project SPAICER was selected as an important element for the implementation of the AI strategy of the Federal Government. SPAICER will thus make a contribution to "AI made in Germany", with which an international trademark for modern, safe and public welfare oriented AI applications is to be developed on the basis of the European canon of values. Together with leading researchers and production companies, SPAICER is investigating how artificial intelligence methods can be transformed into resilience management for industry in order to better prepare for and react to disturbances. The SPAICER consortium has successfully won the AI competition of the Federal Ministry of Economic Affairs and Energy (BMWi) against strong, national competition and will, under the leadership of Prof. Wolfgang Maaß (DFKI), be funded with more than 10 million Euro for three years.

"In concrete terms, SPAICER ( is about developing an ecosystem and a platform for smart resilience services to strategically improve the resilience of the production industry," explains Wolfgang Maaß, scientific director at the German Research Center for Artificial Intelligence (DFKI) in Saarbrücken. Resilience is the ability of a company to permanently adapt to internal and external changes and disturbances in complex, rapidly changing production networks. This research on resilience management is driven, among other things, by the growing complexity and fragility of an industry 4.0 production, volatility of political, economic and ecological contexts, uncertainties in the supply of raw materials and, last but not least, by demographic change and increasing qualification requirements. Technologically, SPAICER follows an agent-based, modular and open approach to developing smart resilience services based on world leading AI technologies and industry 4.0 standards. SPAICER is embedded in a broad ecosystem of industrial partners, leading research institutions and associations. The project also focuses on the transfer of knowledge to industry through certificates and innovative education and training on resilience. Based on this, Wolfgang Maaß sees the opportunity to develop a powerful AI-based software industry around the topic of resilience: "It is not about recovering from a single setback. It is about giving production companies the ability to permanently anticipate changes and disruptions, to react to them and to adapt to them. SPAICER's contribution is to make German industry more competitive, and for that we need powerful AI-based resilience technology".

In addition to DFKI, SPAICER includes the renowned Machine Tool Laboratory (WZL) at RWTH Aachen University, the University of Freiburg, the Technical University of Darmstadt, the Institute for Technology and Innovation Management at RWTH Aachen University, the Otto Beisheim School of Management (WHU), deZem, Feintool, SAP, SCHOTT, SCHAEFFLER, SEITEC, SENSEERING and Waelzholz. A further 39 associated partners support the project consortium with important practical knowledge.


Prof. Dr.-Ing. Wolfgang Maaß

German Research Center for Artificial Intelligence (DFKI)

phone: +49 (0)681 302-64736




Kick-Off Future Data Assets

13th August 2019

Today on 13th August 2019, the kick-off of the project Future Data Assets took place at FIR (Institute for Industrial Management) at RWTH Aachen. The project is initiated by the Chair of Business Administration, especially Information and Services Systems headed by Prof. Dr-Ing. Wolfgang Maaß.

The objective of Future Data Assets is intelligent data accounting for the determination of corporate data. This data balance is intended in particular to close the gap with regard to classical reporting and there are two key features: the data balance management report with a past-oriented character and the data balance forecast report with a future-oriented character.

The project has a term of 36 months and is also funded by the Federal Ministry of Economy and Energy (BMWi). Saarland University (UdS), FIR e.V. of RWTH Aachen as well as the companies atlan-tec, Deloitte, DMG MORI and the specialty chemicals company Kuraray are part of the project as partners.

At today's kick-off in the Smart Logistics cluster of FIR at the RWTH Aachen, representatives of Atlan-tec, Deloitte, DMG MORI, FIR, UdS, Kuraray i4.0 Maturity Center, SWISDATA took part. In the scope of the kick-off, two workshops were held on the subject of "Requirements Analysis for Data Accounting" and "Project Management WorldCafe". kick-off-fda-gruppenfoto.jpg

Second EVAREST project meeting

11th July 2019

On Thursay, July 11th our second EVAREST project meeting with all partners took place at Lindt in Aachen. Representatives of Software AG, FIR e. V. at the RWTH Aachen, Lindt and Prof. Dr.-Ing. Wolfgang Maaß and employees of the research area Smart Service Engineering came together.

The EVAREST project started in January 2019 with the aim of developing and utilizing data products as assets in the ecosystem of food production on the basis of an open, technical data platform created across company boundaries as well as economic and legal usage concepts.

At the consortium meeting in Aachen the results of a survey designed by the partners FIR and AMI were presented. This is used as input to the status quo of the digitization of industrial food production. In addition, a joint workshop using the Innovation Design methodology (see Ouden, 2011) developed various values ​​and requirements for future stakeholders of the EVAREST ecosystem. After the lunch break, an exciting tour of the factory in Aachen was offered - the largest location in the entire Lindt Group. Subsequently, the current status of the conception of data products in food production was presented by DFKI. In addition to the analysis of existing and conceptual design of future data streams in production, possibilities for the representation of data products as well as the application possibilities of smart contracts for the protection of data products in the ecosystem were investigated.

The consortium of EVAREST project also plans to present first prototypical realizations at fairs in the coming year, like e.g. the HMI or Interpack and industry meetings, such as the German Fruit & Vegetable Congress, meat and milk congresses. We look forward to your inquiries, your feedback on the project and, in the future, interesting discussions and contacts at trade fairs and congresses.

More information about the project EVAREST can be found [here][1].

[1]: https: //


2nd -3rd July

From 2nd -3rd July 2019 the VDI AUTOMATION 2019 takes place in Baden-Baden. Prof. Dr.-Ing. Wolfgang Maaß himself and representatives of the research area Smart Service Engineering and the Chair of Business Administration, in particular Business Informatics in the Services sector take part to represent with research project SPAICER.

The VDI AUTOMATION 2019 congress will be held for the 20th time this year and is known as a major congress of measurement and automation technology in Germany. This year's event is themed "Autonomous Systems and 5G in Connected Industries" and offers a wide range of programs on the subjects measurement and automation technology, 5G in automation and development of digital business models. The congress is characterized by exciting lectures and exhibitions as well as lively discussions.

As part of the VDI AUTOMATION 2019, Prof. Dr.-Ing. Wolfgang Maaß gives lectures on the first day of the congress. The first lecture is about artificial intelligence and is entitled "Real-time Optimization in Agricultural Production". As a second lecture Prof. Dr.-Ing. Wolfgang Maaß gives an insight into the topic "Information security in the environment of (process) automation".

The full article about "Echtzeit-Optimierung in der landwirtschaftlichen Produktion" by Prof. Dr-Ing. Wolfgang Maaß and Dr.-Ing. Sabine Janzen can be found here. 2e63faea-13f5-4167-a234-31accc4268a6.jpg

SPAICER Symposium

26th June 2019

Yesterday, on 26th June 2019, the symposium of research project SPAICER took place in Spreespeicher in Berlin. As a part of the event, which revolved around the topic of resilience management, in addition to the core consortium, many representatives of interested companies participated.

With its concept idea, the research department Smart Service Engineering of DFKI, the institutes TIM and WZL of RWTH Aachen and the senseering GmbH, together with 34 other teams, succeeded in the competition “Artificial Intelligence (AI) as a driver for economically relevant ecosystems” of BMWi. The vision of the project is to develop a framework model for AI-based resilience management for manufacturing companies in value creation networks.

The day of the symposium in Berlin started at 9:30 am with an accreditation. Afterwards the first lecture about the theme "Resilience management and Artificial Intelligence" by Professor Maaß followed. Professor Thomas Bergs from WZL of RWTH Aachen hold a lecture with the title “manufacturing resilience using the example of aviation". Following this, Jens Gerhard represented the Feintool System Parts Jena GmbH with resilience management in production from the point of view of a medium-sized company. As a representative of the University of Freiburg, Professor Bernhard Nebel gave an insight into the topic "Increase of resilience through planning techniques". Just before lunch-break, Florian Grigoleit from spoke about the support of the AI in the development of safety-critical products. At 1:20 pm, the panel discussion between representatives of the WLZ, TIM, senseering GmbH and Feintool System Party Jena GmbH tied on. As part of the specialized forums, the event passed to its more interactive part. Topics of the discussion included "Resilience management in the modern industrial enterprises" and "AI-based resilience management for companies in manufacturing networks". At the end of the official part, there was the possibility to collect information about the applicants' advice for the SPAICER project. To let the long day of the symposium end, everybody had the chance to network at the "Get Together" in the afternoon.

We want to thank all the speakers, organizers, participants and all other people who helped to make the symposium with its interesting inputs and discussions successful!


6th - 8th June 2019

From 6th - 8th June 2019, St. Petersburg International Economic Forum (SPIEF) took place in the Russian port city of St. Petersburg. Within the scope of the forum and the panel on “Data in Service of the State and Society” Prof. Dr.-Ing. Wolfgang Maaß gave a lecture about "AI-based Resilience Management for Production Systems".

The St. Petersburg International Economic Forum (SPIEF) is a unique event in the world of business and economics. SPIEF has been held since 1997, and since 2006, it has been held under the auspices of the President of the Russian Federation. Over the last 21 years, the Forum has become a leading global platform for members of the business community to meet and discuss key economic issues facing Russia, emerging markets, and the world as a whole.

At this year's SPIEF, Wladimir Putin gave the opening speech and the Chinese President Xi Jinping participated as a guest of honor at the forum. In addition, Federal Minister of Economics Peter Altmaier, Prime Minister of Mecklenburg-Vorpommern Manuela Schwesig and many management boards of German companies attended the event in St. Petersburg. The panel on “Data in Service of the State and Society” offered interesting discussions on artificial intelligence and resilience management but also necessary changes of society, politics, regulations and public adminstrations were discussed very lively and open minded.

Click here to see Prof. Dr-Ing. Wolfgang Maaß speaking at Panel "Data in Service of the State and Society".

Juni 2019

Im Rahmen des Forschungsprojekts EVAREST wird eine Studie durchgeführt, die u.a. Fragen nach dem Fortschritt der Digitalisierung in der Lebensmittelindustrie beantworten soll. Weitere Informationen und der Link zur Online-Umfrage hier. #evarestproject #dfki #ami #fir #softwareag #lindt #unisaarland

SPAICER symposium

26th June 2019

On 26th June 2019, a symposium on the project SPAICER will take place in Spreespeicher Berlin from 10:00 am to 6:00 pm to which we would like to cordially invite. As part of the symposium, we would like to discuss the challenges and requirements for innovative resilience management for production companies.

The SPAICER consortium, funded by the Federal Ministry for Economic Affairs and Energy (BMWi), was founded to support resilience management in manufacturing companies through the use of Smart Services and Artificial Intelligence. The significance of the topic can be explained by the high demands placed on the flexibility of installation, conversion and learning processes within production in the sense of Industry 4.0. As a result, companies are more than ever required to increase their resilience.

You can register until 18th June 2019 under the following link.



21st May 2019

Today, on 21st May 2019 there was an interim meeting of working group feinblanking (AKF) in Aachen. The project SPAICER, at which the research group "Smart Service Engineering" of DFKI headed by Prof. Dr.-Ing. Wolfgang Maaß is involved as the consortium leader, was discussed in the context of this event.

The AKF, which was founded by the Laboratory for Machine Tools and Production Engineering (WZL) of RWTH Aachen University, is a strategic research tool for innovative companies in the fineblanking technology sector. The merger of experts in the field of fineblanking technology as well as the expertise of companies in the fields of tool technology, lubricant technology, materials technology and plant technology creates an excellent basis for sophisticated joint research.

As part of the event, in addition to a presentation on the SPAICER project, a study on "material trends" and projects on the topics of "wear detection using structure-borne sound including lubricants" and "fineblanking with carbide" were presented by representatives of RWTH Aachen University.

More detailed information about the SPAICER project can be found here!

World Intelligence Congress 2019

16th - 19th May 2019

From 16th – 19th of May 2019 the third edition of World Intelligence Congress (WIC) took place in Tianjin, in the northeast of China. Within the scope of the congress Prof. Dr.-Ing. Wolfgang Maaß gave a keynote with the title “Resilience Management in the Age of Industry 4.0” by invitation of Lenovo Group Ltd.

In 2017, the World Intelligence Congress was set under the background of promoting the development of the intelligent science and technology industry. Since then, WIC has been the first large-scale high-end exchange platform in the field of intelligent science and technology. The end-to-end international conference aim is to be a world-class platform for innovation collaboration in global intelligent science and technology industry, demonstrating new achievements and progress.

This year's WIC was dedicated to the topic "Intelligence New Era: Progress, Planning and Opportunity" and offered an international platform with conference, exhibitions and various competitions. Several companies supported the event as strategic partners, such as Lenovo Group Ltd. The Lenovo Group Ltd. was founded in 1984 in the Chinese city of Beijing. The multinational technology company Lenovo designs, develops, manufactures, and sells mainly computers and smartphones. Besides Lenovo operates in the areas of the connected world, Smart City and Industry 4.0.

As part of WIC, Lenovo organized the so-called Forum for the Smart Industry Revolution Summit. In addition to the lecture by Prof. Dr.-Ing. Wolfgang Maaß, Lenovo Management Seniors gave various talks about the capabilities bringing digital innovations to companies based on high-performance computing infrastructures, edge computing and IoT, cloud computing, data analytics, and AI.

Further information about WIC can be found here!


Kick-off Meeting: CML project

14th May 2019

On 14th May 2019 the kick-off of the project "Cognitive Manufacturing Lab (CML)" took place at Laboratory for Machine Tools and Production Engineering (WZL) of RWTH Aachen. As representative for the research group Smart Service Engineering (SSE) at DFKI, headed by Prof. Dr.-Ing. Wolfgang Maaß, Shashwat Sahay attended. Furthermore, Tobias Kaufmann and Philipp Neimietz, who both represented the WZL, participated.

The CML is a research environment, which is managed by the research group Smart Service Engineering of DFKI and WZL of RWTH Aachen. In this environment, innovative concepts of AI-based production environments from the perspective of production technology, artificial intelligence and business management in simulated and real environments will be investigated. Objective is to bring together a broad-based, excellent research with industrial users. Thereby breakthroughs in the usage of artificial intelligence in the modern production should be pushed forward interdisciplinarily as well as collaboratively and should be transferred sustainably into practice.

During the kick-off, theoretical aspects of the grinding process and the data logging process were discussed. Besides it was considered how AI/ML could be used to further rationalize the grinding process by identifying different cause-effect relationships, the formation of a monitoring system for coolant lubrication was characterized and a timeline for the achievement of further research objectives was formed.

For more information about CML you can click here!

KVD Spotlight "mobile solutions"

14th May 2019, 9:30am - 5:00pm

On 14th May 2019 the workshop „KDV Spotlight – mobile solutions“, which was organized by Kundendienst-Verband Deutschland e.V. (KDV e.V.), took place in Darmstadt. In the scope of this event Prof. Dr.-Ing. Wolfgang Maaß has given a lecture with the title “Future of mobile work through Smart Services: Application Possibilities of Technologies of Artificial Intelligence”.

The service association KVD e.V. has the mission to support specialists and managers on their way to design their technical customer service. Members obtain a significant knowledge and market advantage when it comes to networking events, training and further education as well as the integration of the latest research results.

Within the event “KVD Spotlight – mobile solutions” participants obtained knowledge-enriching information, all linked to the issue of mobile solutions. Due to this information successful approaches and innovative impulses should crystallize. In addition, the opportunity to generate new networks arose.

In his lecture "Future of mobile work through Smart Services: Application Possibilities of Technologies of Artificial Intelligence", Prof. Dr.-Ing. Wolfgang Maaß addressed the areas "Transformative Potentials of Smarter Services and Artificial Intelligence" and "Cooperation between the Mobile Employee and Smart Services". He also focused on the topics "Practical applications with technologies of artificial intelligence" and "Strategic design options".

For more information about KVD please click here.

Digital Technology Days

14th - 15th May 2019

From 14th - 15th May 2019, the Federal Ministry for Economic Affairs and Energy (BMWi) is hosting the “Digital Technology Days (TddT)” in Berlin. Focus of the event is to discuss the latest developments and future-relevant topics in the fields of industry, mobility, health and energy.

The research group Smart Service Engineering (SSE), headed by Prof. Dr.-Ing. Wolfgang Maaß, is represented with the projects Smart Farming, SPAICER and EVAREST on TddT.

The BMWi uses state-of-the-art technology programs to promote development of cutting-edge digital technologies in and for Germany. The programs focus on the future of information and communications technology (ICT) in an early stage and help accelerate the transfer to economy. In addition TddT present outstanding results from these programs.

The two event days offer a forum for exchange and networking and should contribute to the formation of cross-industry value networks. Within the scope of the event Dr.-Ing. Sabine Janzen, Senior Researcher at DFKI in Saarbrücken and representative for SSE research group, gave a lecture on the research project SPAICER. In addition, the project Future Data Assets, which will start in August 2019, was presented. The event also included one of the last meetings of the Smart Farming project, which is going to be finalized end of May 2019, after a 3-year runtime. The results of the project were presented by representatives of RWTH Aachen at TddT.

CIRP Design Conference

8th - 10th May 2019

From 8th – 10th May 2019 the CIRP Design Conference took place in Póvoa de Varzim in Portugal. Topic of the Conference was: Open Design and Design as Exponential Technology. As a representative of ISS chair Prashant Shivaram Bhat participated and presented the paper “Automated Learning of User Preferences for Selection of High Quality 3D Designs” which has been written in cooperation with Iaroslav Shcherbatyi and Prof. Dr.-Ing. Wolfgang Maaß.

The CIRP (International Academy for Production Engineering) is a worldwide leading company in the area of production technology. It is on top of development, optimization, control and administration of processes, machines and systems. The support of research and development among members, who are active in science and industry, in order to contribute global economic growth and well-being of society is a central theme of the company.

This year’s main focus of Design Conference was the review and the debate of progresses, research findings and industrial improvements in the area of design and technology for product development.

The conference aims to build an international forum for scientists, in which visions, status of technology and innovations, in the field of production technology, should be discussed. In addition, the youngest improvements, opinions and perspectives should be processed, to achieve a significant influence on the future of design and technology in production development.

The paper as PDF file can be found hier!

EVAREST workshop at Lindt

3rd May 2019

On Friday, 3rd May 2019, a workshop on "Data in food production" took place at Chocoladefabriken Lindt & Sprüngli GmbH in Aachen as part of the EVAREST research project, which has started in January 2019.

In addition to the host team of Lindt, Prof. Christoph Sorge, Holder of the juris professorship of legal informatics at Saarland University and representatives of the research group SSE of DFKI headed by Prof. Dr.-Ing. Wolfgang Maaß participated in the workshop.

The objective of EVAREST is the development and utilization of data products as economic goods in the ecosystem of food production. This is to be done based on an open, technical data platform, which is designed beyond company boundaries, as well as economic and legal utilization concepts. The research project is scheduled to run from January 2019 to December 2021 (36 months) and is founded by the Federal Ministry for Economic Affairs and Energy and supported by the German Aerospace Center. In the scope of the project DFKI cooperates with AMI, RWTH Aachen, Lindt, software AG and Saarland University.

During the EVAREST workshop in Aachen, the participants gathered scientific findings on the topic of "Data in food production" and discussed potential data products. Furthermore, a guided tour through the production of Lindt has been offered to the participants.

More information about EVAREST can be found here!


Press release about research project SPAICER

6th May 2019

With its concept idea SPAICER - scalable adaptive production systems through AI-based resilience optimization, the research department Smart Service Engineering of DFKI Saarbrücken and the institutes TIME and WZL of RWTH Aachen, together with 34 other teams, succeeded in the competition "Artificial Intelligence (AI) as a driver for economically relevant ecosystems" of the Federal Ministry of Economics and Energy (BMWi).

The vision of the SPAICER research project is to develop a framework model for AI-based resilience management for manufacturing companies in value creation networks.

The entire press release of the project can be found here or as PDF file!

Dagstuhl Seminar

25th - 26th April 2019

The seminar "Artificial Intelligence for Production Technology - Data Products, Smart Services and Resilience" took place from 25th - 26th April 2019 in Schloss Dagstuhl, a worldwide renowned meeting place for computer scientists.

During this meeting, Master and PhD students of the Chair in Business Administration, esp. Information and Service Systems, as well as members of the research group SSE of DFKI headed by Prof. Dr.-Ing. Wolfgang Maaß presented their work on various research topics.

Schloss Dagstuhl - Leibniz Center for Informatics pursues its mission of furthering world class research in computer science by facilitating communication and interaction between researchers. One important objective of Schloss Dagstuhl is including and thus promoting young talents, so is promoting the exchange of knowledge and findings between academia and industry.

Within the scope of the seminar the support of production technology, which allows manufacturing companies to anticipate internal and external disruptions through the use of Smart Resiliency Services, has been discussed. In this context, we investigated the semi-automatic creation, use and trade of data products within the production ecosystem.

More information about Schloss Dagstuhl can be found here!


Press release about project with WADA

17th April 2019

The World Anti-Doping Agency (WADA) was established in 1999 with the mission of harmonizing and coordinating anti-doping programs at an international and national level concerning the detection, deterrence, and prevention of doping.

Following its motto "Play true," WADA focuses on scientific research, training, development of anti-doping capacity, and monitoring of the World Anti-Doping Code. DFKI and WADA are working together to combat doping using machine learning techniques through the joint EPO-Predict project.

You can find the press release about our project with WADA here!

Kick-off Meeting: SPAICER Project

12th April 2019

Project "SPAICER - Scalable adaptive production systems through AI-based resilience optimization" started in April 2019. DFKI research group "Smart Service Engineering", lead by Prof. Dr.-Ing. Wolfgang Maaß, is consortium leader.

The project started with a joint kickoff by research group Smart Service Engineering (SSE) of DFKI, Chair of Technology and Innovation Management (TIME) as well as Laboratory for Machine Tools and Production Engineering (WZL) of RWTH Aachen University and senseering GmbH on 12th April 2019.

Funded by the Federal Ministry for Economic Affairs and Energy for 6 months from 15th April 2019 - 15th Oktober 2019, the project will be accompanied by the Project Management Agency of German Aerospace Center (DLR) as project sponsor.

As part of AI Innovation Contest, BMWi promotes outstanding approaches for application of artificial intelligence in important sectors of German economy. The 35 best projects in the competition - amongst others our project SPAICER - are given the opportunity to develop detailed plans for the implementation of their concept idea and for the formation of consortia.

Final meeting of Smart Farming World project

28th March 2019

Last Thursday, the final meeting of Smart Farming World project took place at project partner Grimme in Damme, Lower Saxony. In addition to the project partners, also representatives of the Federal Ministry for Economic Affairs and Energy, the DLR and the Accompanying Research Center VDI / VDE took part in this event. The focus was placed on the consideration of different use cases: Fleet Set Connect, Connected Update, Tele Expert and nPotato.

During the remaining two months of the Smart Farming World project, the results of it are going to be recorded and can thus be used in other projects like EVAREST.

Speech IPEC 2019: Edge AI and Resilience in Manufacturing

13th March 2019

On 13th March 2019 Prof. Dr. Maaß gave a speech at the "Integrated Plant Engineering Conference" (IPEC 2019) on the topic: Edge AI and Resilience in Manufacturing. The event was organized by the IHK Nuremberg.

Speech by Prof. Dr. Hartmut Höhle (University of Mannheim) "Design and Evaluation of Auto-ID Enabled Shopping Assistance Artifacts in Customers' Mobile Phones: Two Retail Store Laboratory Experiments"

08.02.2019, 16:00 - 17:30

"Design and Evaluation of Auto-ID Enabled Shopping Assistance Artifacts in Customers' Mobile Phones: Two Retail Store Laboratory Experiments"


There has been widespread use of auto-ID technologies. With the increasing diffusion of smartphones, the potential to serve content to shoppers using auto-ID technologies is starting to receive interest. Using a design science approach, we design and build, theorize about, and compare six shopping assistance artifacts by manipulating the hardware design—barcode scanner versus radio frequency identification (RFID) reader—and content design—product information versus product review versus both. We theorize about how these artifact conditions will compare to a control condition (no shopping assistance artifact available) across three sets of outcomes: technology adoption, security beliefs, and shopping. We tested our propositions in two experiments—wherein the task was varied: general browsing and shopping (n = 227) versus goal-directed shopping (n = 221)—conducted in a retail store laboratory. The RFID reader was most favorably received in terms of technology adoption outcomes and shopping outcomes, although it was most negatively viewed in terms of security beliefs. We also found that the content design conditions (i.e., product information, product reviews, and both) were perceived favorably. In a post hoc analysis, we found a twoway interaction of hardware and content designs such that content fueled by RFID was perceived most favorably in terms of technology adoption and shopping outcomes, whereas it was most negatively viewed in terms of security beliefs. Interestingly, the two-way interaction was most pronounced in the goal-directed shopping condition such that the most positive effects were observed for RFID in combination with both product information and reviews.


Hartmut Höhle joined the University of Mannheim in Fall 2017 and holds the chair of Enterprise Systems. He was previously an associate professor of Information Systems in the Sam M. Walton School of Business at the University of Arkansas and received a Ph.D. in Information Systems from Victoria University of Wellington, New Zealand. Stemming from his professional experiences gained while working at Deutsche Bank, he is particularly interested in how services and products can be distributed through electronically mediated channels in a retail context. His work has appeared or is forthcoming in MIS Quarterly, European Journal of Information Systems, Journal of the Association for Information Science and Technology, Decision Support Systems, and Journal of Computer Information Systems. He has presented at the International Conference on Information Systems and the European Conference on Information Systems. He has also served as a reviewer for leading journals including MIS Quarterly.

For further information click here!


A recent press release by the "Informationsdienst Wissenschaft" (scientific information service) provides information regarding our research project EVAREST.

For further information regarding food-data as a good, please click here.

As DFKI in the role of the consortium leader, we represented the project EVAREST in the synergy workshop "Smart Data Management" at lead partner DLR in Berlin. There were a total of 20 projects represented in the program.

The overall objective of the workshop was to get to know each other and to network in order to identify potential synergies, cross-cutting issues and common interfaces!

Speech: "Online Experiment-Driven Adaption", Dr. Ilias Gerostathopoulos (TU München)

11.01.2019, 15:00 - 16:00

Today we welcome Dr. Ilias Gerostathopoulos in DFKI building (D3 2), VisRoom, to hear an interesting speech about "Online Experiment-Driven Adaption". Everyone interested is cordially invited to speech and discussion!


As modern systems become larger, more complex and customizable, it is difficult to fully model their internal workings in advance in here optimization based on operational data and experimentation. In this talk, I will present the main ideas behind Online Experiment-Driven Adaptation (OEDA), an approach whereby systems are adapted and configurations are evaluated by controlled experiments in production environments using advanced data analysis and statistical methods. In particular, I will describe the main concepts of OEDA, along with an example of a complex, hardto-model system that is amenable to online optimization via controlled experiments— the CrowdNav self-adaptation model problem. I will also describe three different types of costs in online experimentation and discuss the tradeoffs in terms of the different costs of using three different optimization algorithms: Bayesian optimization, factorial design, and local search.


Dr. Ilias Gerostathopoulos obtained his PhD in march 2012 at Department of Distributed and Dependable Systems at Charles University in Prague on „Model Driven Development of Software-Intensive Cyber-Physical Systems“. Since January 2016 he works at Technical University of Munich as an postdoctoral researcher. His emphasis in research and publications is about „Software Architecture“, „Self-Adaptive Systems“ and „Big Data Analytics“. Current projects are the „TUM Living Lab Connected Mobility“ as well as „Collaborative Embedded Systems“. At Technical University of Munich he also gives lectures about „Internet of Things and Services“


In January 2019, the so-called project EVAREST starts, in which DFKI research group "Smart Service Engineering", lead by Prof. Dr.-Ing. Wolfgang Maaß, is consortium leader.

EVAREST is a research project in which DFKI cooperates with AMI, RWTH Aachen, Lindt, software AG and Saarland University. The project is funded by Federal Ministry for Economic Affairs and Energy over 36 months, from January 2019 until December 2021. German Aerospace Center supports the project as Project Management Agency.

EVAREST is a follow-up project to Smart Farming. Objective is development and utilization of data products as economic goods in the ecosystem of food production based on an open, technical data platform, which is designed beyond company boundaries, as well as economic and legal utilization concepts. Further information about the project can be found on the official website.

From 18th - 23rd of November 2018, Prof. Dr.-Ing. Wolfgang Maaß was on a visit to Schloss-Dagstuhl, the Leibniz-Institute for Informatics. The reason for his visit was his participation in the seminar "Next Generation Domain Specific Conceptual Modeling: Principles and Methods"

Images ©Schloss Dagstuhl - LZI GmbH

TV report about the "npotato" field tests - Smart Services in the field of agriculture

On the 17th of October 2018 there was a TV report in the Logo News on ZDF about the "npotato" field tests that have been conducted in the beginning of October 2018.

You can watch the report here.

The smart and digital potato "npotato" is a result of the collaborative project "Smart Farming World" to which the project team "Smart Service Engineering", under the direction of Prof. Dr.-Ing. Wolfgang Maaß, of the German Research Center for Artificial Intelligence (DFKI) contributes to. The sensors of the "npotato" capture shocks during the harvest of potatoes and collect data and therefore contribute to optimize the harvesting process.

Furthermore you can inform yourself about the latest developments concerning the "npotato" in the newsletter of the DFKI.

Visit of the Kind and Queen of the Netherlands at Saarland University

On the 11th of October 2018 the King of the Netherlands Willem-Alexander and his wife Queen Máxima visited the University of Saarbrücken.

Besides a visit to the German Center for Artificial Intelligence (DFKI), where they were received by robot Pepper, they participated at the Dutch-German business meeting "A Save and Digital Industry". Representatives from the fields of economy, teaching and science presented the latest state of the systems and prototypes as well as the results of the day. In addition, the further cooperation between the Netherlands and Germany in the field of industry 4.0 has been discussed.

During the so-called „High Level Networking“ Prof. Wolfgang Maaß took part at the round table „New Business Models“ for the development of the Smart Industry and King Willem-Alexander informed himself about the discussed subjects.


Pictures ©Iris Maurer

Press Report about "npotato": Smart Services in the field of agriculture

The current newsletter of the German Research Center for Artificial Intelligence has published an interesting article about the presentation of the latest developments of the "npotato" on CeBIT 2018 by the research field Smart Service Engineering of DFKI. The PDF- Version of the newsletter including the article you will find here.

Furthermore there is an interesting article about the presentation of the same project on Hannover Messe 2018. The related article you will find here.

Burgstraße Discussion: Artificial Intelligence – will machines make better bankers?”

June 13, 2018

On June 13, 2018 Prof. Dr.-Ing. Wolfgang Maaß participated in the series of events "Burgstraße Discussion" of the Association of the German Banks in Berlin. It was discussed the topic "Artificial Intelligence – will machines make better bankers?" with many experts from politics, business, banks and the stock market. The whole article you will find here. picture source: Bankenverband / Foto: Boris Streubel, action press

Gespräch Burgstraße

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Gespräch Burgstraße6

Smart Farming World @CeBIT 2018

This year, too, the research area smart service engineering of DFKI is represented at CeBIT 2018 in Hannover. Highlight was the visit of Peter Altmaier (Minister of Econom Affairs), Anja Karliczek (Research Minister) and Stephan Weil (Minsiter of Lower Saxony).

At the stand of DFKI in hall 27 stand F 62 the latest developments of the intelligent potato nPotato is presented. We already had many interested visitors, amongst others the SPD secretary general Lars Klingbeil, as well as Prof. Dr. Wolf-Dieter Lukas, head of the department "key technologies-research for innovation" at Federal Ministry of Education and Research and Prof. Dr. Hennig Kagermann, president of Acatech, National Academy of Science and Engineering. See nPotato live at CeBIT until 15th June! You will find further informations on the project nPotato here.

Lars Klingbeil

Wolfgang Maaß, Wolf-Dieter Lukas und Henning Kagermann

Press report about the topic "research while studying"

The newspaper of the University of Saarland "Campus Extra" has published an interesting article about Hannah Stein and Mirco Pyrtek. Both are students and they already research in the research group "Smart Service Engineering" at DFKI (German Research Centre for Artificial Intelligence). The PDF- version of the newspaper including the article you will find here.

Open House, Saarland University

Saturday, 26 May 2018

At Open House at Saarland University we presented our project retail service robotics successfully.

We were happy to see many visitors that had a look at the project retail service robotics at our stand at DFKI. Thanks for the positive feedback and interesting questions! Pictures and videos you will find here.

Learn more about retail service robotics here.

Invitation to BMWi

8 May 2018

On 8 May 2018 Prof. Dr.-Ing. Wolfgang Maaß and Matthias Barbian from Siemens Mindsphere ( ) followed an invitation to BMWi.

nPotato@Hannover Messe 2018

23.04. - 27.04.2018

At this year's Hannover Messe nPotato, part of Smart Farming World project raised a lot of attention. Here you can see news coverage:

Smart Farming World, funded by German Federal Ministry for Economic Affairs and Energy with project sponsor German Aerospace Center (DLR) with the subproject nPotato was embraced by visitors of HMI.

Before Hannover Messe many news around the project were published on: it-zoom, Potatobusiness, web magazine ofSaarland University Gabot, Computerwoche, Wissenschaftsjahr and many more

In addition there was a report on the radio - you can find it in SR Mediathek -only in German- as well as a report on TV

We were happy to talk to interested persons from policy and industry, amongst others with members of US Department of Commerce!

Press report about "nPotato": From the field to the bag of chips

The Web-magazin called "Campus" (University of Saarland) has recently broadcasted an interesting report about the project "Smart Farming World" and its use case "nPotato". You can find the report and the idea behind the "nPotato" here

Media report on SR: "nPotato @Hannover Messe 2018"

On the occasion of the Hannover Messe (23.04.-27.04.2018), a media report has been broadcasted on SR about the "nPotato". You can find the (german) video here.

Smart Farming @Hannover Messe 2018

Project Smart Farming with the use case "nPotato" will be presented next week at HANNOVER MESSE 2018. Find us in hall 2, stand B 46. You can find a current press report on

We are looking forward to many interesting discussions and visitors!

Press report on "Smart Farming World"

In the context of the BMWi-supported project "Smart Farming World" and the use case "nPotato", published a press report about optimization of potato harvest and processing. You can find the report here

Information Days 2018

During the information days for the studies in information systems (bachelor and master) on 4 April 2018, Prof. Dr.-Ing. Maaß talked about trend topics of digitalisation.

You can find the slides of the talk hier

Announcement of guest lecture by Prof. Dr. Huchzermeier and Prof. Dr. Spinler from WHU

22nd of February 2018

Guest lectures about „Proactive Retention Management in Retailing: Identifying, Predicting, and Preventing Partial Deflation“ and „Überblick zu aktueller Forschung im Kontext von Data Analytics“

Date: 22nd of February 2018, 11:00 - 12:30 am.

Location: DFKI, Building D3 2, Room Reuse, Saarland University Campus

PDF (187 KB)

Meeting with the Vice-Governor of Putuo (Shanghai)

Last week there was a meeting with Prof. Dr.-Ing Wolfgang Maaß and the Vice-Governor of Putuo (Shanghai)

Labor- Talks

On Monday we organized the ,,Laborgespräche" at the Saarland University. The presentation takes place in cooperation with saaris, KWT, DFKI and the Saarland University

The assistants from the Chair of Information and Service Systems showed interest and graphic examples for the Smart Service applications. The event focussed on the digitalization with the commitment of Industrie 4.0 and the Smart Service Systems for the companies. It was explained following topics: FinTech: Smart Services for the finance concerns, Digital Teaching, SmartHome, SmartFarming, Health 4.0 and Smart Dialog Services. Some services were already being used in some industrial sectors (Insurance, Healthcare, Sports, Engine Building,...). Professionals and manager, furthermore development manager from Saarland companies participated at the presentation.

After the Presentation of the ideas the entrepreneurs could talk with the scientists to create a dialog between theory and experience.

4th European Data Science Summer School @ UdS

After a successful European Data Science Summer School we would like to say thank you to all supporters.

In the time 09.18 - 09.22. the 4th European Data Science Summer School takes place at the Jägerheim at Saarland University. It was organized by the Chair of Prof. Dr.-Ing. Wolfgang Maaß and supported by the Chair of Prof. Dr. Jens Dittrich.

As in the year before we had a great variety of topics, including the topic statistics and predictive modeling presented from Dr. Martin Becker, Dr. Stefan Klößner, Prof. Dr. Ralph Friedmann, Dr. Felix Martin Schuhknecht and Iaroslav Shcherbatyi from the Saarland University and DFKI. The Chair of ISS will say thank you to Blue Yonder in Karlsruhe which sent Dr. Malte Tichy and Daniel Stemmer to inform the participants about machine learning on Tuesday. Furthermore we would like to thank Prof. Dr. Florian Stahl from Mannheim University for the presentation about quantitative marketing and big data, also to say thank you to Prof. Tim Conrad from the TU Berlin. He spokes about mass data in bioinformatics. The speech of Prof. Dr.-Ing. Wolfgang Maaß about research in the era of big data concluded the session.

For the good cooperation with the Graduate Center of Computer Science we want to say thank you.

Our thanks also go to the 25 participants of the 4th. European Data Science Summer School for the great workshop and the teamwork.

You will find more information about it on our ED3S website.

We are looking forward to another great European Data Science Summer School next year.

nPotato@ ARD kids newscast "neun 1/2"

Saturday, October 7, 2017

nPotato, which is developed in our project Smart Farming was part of the latest episode of the kids newscast "neun 1/2".

The episode deals with the subject "Smart Farming - Are robots the future farmers?" Thanks a lot to the farmer Dirk Sandering who presented the current development status of the nPotato. We could collect many new impressions when we did attend the harvest, logistics process and storage process. Now we have some more ideas how to develop nPotato along the value chain.

See the episode here

Internship followed by a Master Thesis

The Chair of Business Administration of the Universität des Saarlandes and the Infineon Technologies AG are looking for an interested and qualified student to conduct his/her Internship followed by a Master Thesis on the topic Artificial Intelligence by Dynamic Hysteresis Application on a Supply Chain Segmentation Process

The focus of the thesis is the application of artificial intelligence via a dynamic hysteresis application for the segmentation of Infineon’s supply chain. First a two month internship should investigate supply chain segmentation processes by hysteresis implementations.

This thesis is suitable for business administration and engineering students with a major in the area of operations and supply chain management.

Infineon Technologies AG as one of Europe’s second-largest semiconductor manufacturer is responsible for the development of semiconductors and systems for automotive, industrial and multimarket sectors, chip card, and security products.

Did we spark your interest?

Please find more information about the application and the master thesis in the pdf-document.

PDF (167 KB)

Annual Conference of Deutscher Ethikrat

June 21, 2017

Prof. Dr. Wolfgang Maaß (DFKI/ Uds on the left), Johanna Kardel (VZBV, second one on the left) and Michael Decker (third one on the left) talked about autonomic systems and how these chance our life.

For the topic C : ,,the connected home" - of the annual Conference of Deutscher Ethikrat in Berlin Prof. Dr. Wolfgang Maaß talked about ,,smart home as a public and open theatre."

You can take a look at the talk here and listen to the speech here. It's starts at 03.43.

Onboarding to platform economics - Smart Services for operators

June 12, 2017

Prof. Dr. Wolfgang Maaß (DFKI/UdS, on the left) and Marcus Pier (Grimme, on the right) talked about smart services in agriculture at Digital Gipfel 2017.

In the project Smart Farming World the use case "nPotato" was developed and presented at CeBIT an Hannovermesse 2017. You can take a look at the talk here, it starts from 17:11 on.

Open House, Saarland University

Saturday, 24th June 2017

At Open House at Saarland University we presented our project Smart Farming successful.

We were happy to see many visitors that had a look at the project Smart Farming World at our stand at DFKI. Thanks for the positive feedback and interesting questions.

Learn more about Smart Farming World here.

Sporty ISS Chair

Thursday, 22nd June 2017

On 22nd of June 2017 the ISS Team runs the 5 kilometer during the Firmenlauf in Homburg

Against all odds (the rainy weather and the sticky air) the ISS Chair take part in the 5th Firmenlauf in Homburg and runs 5 kilometer.

Smart Farming World@ Open House, Saarland University

Saturday, 24th June 2017

Smart Farming World will be presented at the Open House, Saarland University on Saturday, June 24. Find us at the foyer in the building of German Research Center for Artificial Intelligence (DFKI) at Campus D3_2 from 10:00 to 14:00.

House Warming Party

The ISS Chair organized his House Warming Party at the 23rd. of May

On Tuesday the ISS Chair opened the door for visiting the new office at the 2nd. floor on Building A5.4. Prof. Dr.-Ing. Wolfgang Maaß and his team showed the new rooms. During the afternoon the invited visitor could enjoy some snacks and drinks and talk together.

Also a little sport session took place. The guests could participate at a short study from the PathMate2 Project under the authority of Nurten Öksüz.

The Chair says thank you to all attendees.

See Smart Farming World@ HMI 2017


Project Smart Farming with the use case "nPotato" will be presented next week at HANNOVER MESSE 2017. Find us in hall 2 at the BMWi stand C28. We are looking forward to many interesting discussions and visitors!

The 4th Data Science Summer School will take place from 18-22 September 2017 at Saarland University.

The summer school is an intensive hands-on introduction to data science for doctoral researchers and advanced students. It addresses the need for future experts in data science that venture to solve big-data challenges with skills in business, science and computing – “a combination that is still hard to find” (cf. Mattmann, Nature 2013). We will introduce you to basic but also advanced statistics and its application in business and healthcare situations. Lectures are combined with hands-on modules that will help you to understand theoretical principles and how to apply them.

Check our new homepage to find more information about the Data Science Summer School 2017

Registration for PhD and Master students: To register, please send a message with your name, your course of studies and your current semester to

Smart Farming World@ CeBIT 2017

Project Smart Farming is presented at CeBIT 2017 in Hannover , DFKI stand in hall 6, stand B48. See the service use case nPotato and learn about the whole project. We already had many interested visitors, amongst others Johanna Wanka – Federal Minister for Education and Research and Timotheus Höttges - Chief Executive Officer Deutsche Telekom AG. See nPotato live at CeBIT until 24th of March!

For more information, check here or the Podcast of SWR1 time: 4:18: SR3- Radio time:3:50