• michael-beigl

    SDIL nominiert für die Dieselmedaille 2019 "Beste Innovationsförderung"

    October 29, 2018 by Michael Beigl, SDIL Sprecher


    Für seine Leistungen der Innovationsförderung ist das SDIL nominiert für die Dieselmedaille 2019.

    Das SDIL hat sich als eine von zwölf Institutionen für die Vergabe der Dieselmedaille am 12. April 2019 in München qualifiziert. Die Medaille ist Deutschlands ältester Innovationspreis und wird in den Kategorien „Erfolgreichste Innovationsleistung“, „Nachhaltigste Innovationsleistung“, „Beste Medienkommunikation“ und „Beste Innovationsförderung“ vergeben. Das Smart Data Innovation Lab wird vertreten von Prof. Dr. Michael Beigl und ist nominiert in der Kategorie „Beste Innovationsförderung“.

    Das SDIL konnte mit seinen Aktivitäten im Rahmen der Forschungsförderung als Austausch- und Betriebsplattform für Forschung im Bereich der Anwendung von Big Data- und Smart Data-Analysen das Dieselkuratorium für seine Nomination überzeugen. Ganz im Sinne der Innovationsförderung stehen die Ziele des SDIL, die Förderung von Kooperationen zwischen Wirtschaft und Forschung sowie der Beschleunigung von Innovationszyklen.
    Verliehen wird die Dieselmedaille seit 1953 vom Deutschen Institut für Erfindungswesen (DIE e.V.) für die besonderen Leistungen einzelner Personen und Institutionen der Innovationskultur. Frühere berühmte Preisträger sind unter anderem die SAP Gründer Dietmar Hopp, Hasso Plattner und Klaus E. Tschira.

  • plamen-kiradjiev

    IBM Cloud for all SDIL projects

    April 18, 2018 by Plamen Kiradjiev


    All current and future SDIL projects will have the opportunity to operationalize their trained models on IBM Cloud, but there’s more…

    Potential analysis for the use of big data analytics technologies in the context of your own company and with your own data – this is exactly what is possible with the help of the Smart Data Innovation Lab (SDIL). However, most SDIL projects end up with the development and validation of predictive models on historical data of a model – even before the actual value creation begins. What is still missing is the prototypical operationalization.

    For this purpose, it is necessary to use the data-driven model to fully leverage the service.

    The current and future partners of the SDIL now can do this using the IBM Cloud with a so-called Academic Account: they receive a virtual project area and can use all the services from the IBM Cloud.

    As first pilot projects have shown, this allows the models trained on SDIL to be tested against new data within a few days inside the framework of a small application, and as well to test their suitability for their own IoT strategy and later use. There are more than 150 services from Analytics, Blockchain, DevOps, IoT and Mobile to Watson. To use these services, your own data that was used to learn on the SDIL infrastructure, need not be disclosed.

    The IBM sponsored offer for SDIL projects goes beyond the usual Lite IBM Cloud accounts and applies to all projects on the SDIL platform. Based on our experience, the free offer for the purpose of evaluating an economic use is currently limited to three months per SDIL project, but may be extended when needed.

    Learn more about concrete experiences from SDIL projects using these possibilities in the interview in Trelleborg’s T-Time Magazine.

  • Parinaz Ameri

    SDIL auf den Big Data Days 2018 in Berlin

    April 11, 2018 by Parinaz Ameri


    The Big Data Days 2018 of the Smart Data Forum, Berlin. Prof. Beigl presented SDIL and its Big Data platform.

    The Big Data Days 2018 of the Smart Data Forum took place in Berlin on April, 11 and 12. The joint event of the Federal Ministry of Education and Research (BMBF) and the Federal Ministry for Economic Affairs and Energy (BMWi) addressed the current research questions in the field of big data.

    Prof. Wolf-Dieter Lukas, the head of department for key technologies at the BMBF, gave an overview of the successful investments of the recent years together with the big data competence centers DFKI / BBDC, ScaDS and SDIL. Afterwards, the respective centers briefly introduced themselves and their range of services according to the maxim “Big Data made in Germany”. Prof. Beigl presented SDIL and its Big Data platform.

    The main focus of this year’s Big Data Days in Berlin was on the achievements so far as well as on possible courses of action in the field of Big Data. The panel discussions also debated over ethics, law and acceptance of big data applications. The breaks additionally provided a forum for discussion and an opportunity for scientific exchange giving new projects the opportunity to introduce themselves.

  • andreas_wierse

    February 27, 2018 by Andreas Wierse, Geschäftsführer Sicos BW


    Matthias Keller of Echobot reported his the experience with Smart Data Analytics and the SDSC-BW.

    The Smart Data Solution Center Baden-Württemberg (SDSC-BW) and Matthias Keller from Echobot were able to secure a slot in the bulging lecture program of the Big Data Summit on February 28 in Hanau. The event coincided with the AI ​​Summit, which focused on artificial intelligence and attracted over 1,000 people.

    Matthias Keller reported on the experiences with Smart Data Analytics and SDSC-BW and also explained how the collaboration helped to identify new methods.

    Every day, Echobot Media Technologies GmbH analyzes millions of texts from websites, social media and news sites for its customers. The analyzes help, for example, with marketing, sales or the optimization of press relations. Today, the company is a business information intelligence platform that analyzes billions of digital content and provides its customers with relevant real-time data and information. Companies that specialize in big data and smart data projects, such as Echobot, are constantly faced with the challenge of selecting and using suitable methods and algorithms in their analyzes. The selection and optimum configuration of these tools is crucial and has a lasting effect on the quality of the later results. The aim of the project with the SDSC-BW was to identify both hardware and software optimization potentials and to derive recommendations for the analytical methods used. The particular challenge in the project was the large number of different text classes or categories and the resulting large number of training data (“example texts”). The high demands required special hardware that Echobot itself was not available. Here, the SDIL could play its strengths.

    At the event, we also took the opportunity to introduce the Smart Data Solution Center Baden-Württemberg. Success stories from practice were in the foreground, such as the potential analysis of Bilcare, Dr. Ing. Hartmann, Fuchs, Hermle, Herrenknecht and the Huber publishing house. In addition to many interesting discussions with other participants as well as exhibitors and sponsors, it a new potential analysis is already being prepared. The participation was completely successful!

  • Parinaz Ameri

    Big Data All Hands Meeting @ KIT

    October 12, 2017 by Parinaz Ameri


    After two exciting days, the 2nd Big Data All Hands Meeting that was held in conjunction with the Smart Data Innovation Conference is over.

    After two exciting days, the 2nd Big Data All Hands Meeting that was held in conjunction with the Smart Data Innovation Conference is over. 25 exciting talks from all over Germany demonstrated that Big Data is a major topic far beyond KIT and academia, as KIT’s vice president Oliver Kraft stressed when opening the conference.

    The achievements during another year in German Big Data Research were presented. Different Big Data Projects reported on their successes as well as the known and newly rising challenges . The talks about legal and privacy issues at the beginning made it clear that Big Data will remain an interesting topic to practice from various aspects. The economical relevance became particularly obvious in the Data Innovation Community Meeting Industrie4.0. In addition, the societal relevance of the topic could be experienced looking at Big Data art at the ZKM in the evening.

    The interdisciplinary aspect was a particular part of many scientific talks on applications, analytics and platforms. You could feel the enthusiasm of both researchers and industrial representatives during the whole conference. Chances for networking were well used. The hands-on-tutorial on the SDIL platform focused on the hot topics of data analytics and machine learning.

    After a great meeting last year at SCADS in Dresden and a successful event this year, we are already looking forward to meet everyone next year at BBDC in Berlin.