© Ilka Grosse/Smart Data Forum
Smart Data Forum
Funded by the German Federal Ministry for Economic Affairs and Energy (BMWi) and developed in cooperation with the German Federal Ministry for Education and Research (BMBF), Smart Data Forum is a knowledge hub, demonstrator and networking platform for Smart Data technologies and stakeholders in Germany. The Forum is managed by the German Research Center for Artificial Intelligence (DFKI), and also works closely with the two technology programs Smart Data and Smart Service Welt.
As a knowledge and networking platform for small and medium sized enterprises, the Forum provides information about current technological trends and developments through participation at national roadshows and at the offices in Berlin.
Innovative research projects, technologies, and products from Germany are introduced to the international audience at international roadshows, which also encourages new partnerships.
Companies and outstanding projects are provided a platform for more visibility and networking of their innovations at the exhibition hall at Fraunhofer’s Heinrich-Hertz Institute (HHI) in Berlin.
Prof. Dr. Volker Markl DFKI GmbH (Speaker)
Prof. Dr. Wolfgang Wahlster DFKI GmbH
Prof. Dr. Hans Uszkoreit DFKI GmbH
Prof. Dr. Thomas Wiegand Fraunhofer HHI
Dr. Jack Thoms
Head, Smart Data Forum
Dr. Azadeh Ghahghaie
International Communication and Networking
National Communication and Networking
Dr. Xia Wang
Big Data Market and Technology Monitoring
Dr. Dirk Hecker
(Fraunhofer Institut IAIS)
Showroom and Demonstrators
Die Ausstellungsfläche des Smart Data Forums spiegelt die rasanten Entwicklungen im Smart Data Bereich durch die dynamische Präsentation spannender Projekte aus Forschung und Wirtschaft wider. Auf Veranstaltungen und in Workshops haben Sie die Möglichkeit Partner aus relevanten Projekten, Initiativen und Behörden persönlich kennen zulernen, sich zu vernetzen und somit Synergien zu schaffen, die Ihre Projektentwicklung vorantreiben. Die Ausstellungsfläche mit angeschlossener Veranstaltungsfläche steht Akteuren und Verbänden für Events mit Smart-Data-Bezug zur Verfügung.
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© Fraunhofer HHI
The objects which are building the Internet of Things are growing and growing. The demo of a wind wheel park is presenting how huge amounts of sensor based data can be evaluated. Energy suppliers control their wind wheels by sensors which are connecting every wheel to each other and reacting in real time on the basis of data evaluation such as wind strength, direction and other weather data from past scenarios.
Smart Data for Mobility & Smart Data Web
For industry companies with various suppliers, it is crucial to be informed about current events which can influence their supply chain management. The Target of the App’s purpose is to monitor difficulties in the delivery process due to observing traffic, natural disasters and also economic events of merger and acquisitions of suppliers. This information is coming from websites,Twitter and RSS feeds. The algorithm behind it works as computational linguistics (analyzing words, then sentences and then in which context the sentences are standing), to evaluate their content for the specific use case.
© Fraunhofer HHI
Every minute there is a huge data flow; Tweets, blogs, and news which can be used by companies due to intelligent reporting. ubermetrics is analyzing public information flows of heterogeneous sources for identifying risks, potentials and trends. The gained information helps companies in their decision making processes. The use cases are diverse; From marketing, PR and sales questions, to new product strategies and supply chain management. The analysis can support the decision making process by the evaluation of information for the specific topic.
sd-kama is an information platform for disaster relief management. The platform provides access to a large amount of data from various sources in real time. The platform aggregates information from satellite, traffic and other open data sources, as well as comments, photos and videos uploaded by rescue forces or disaster-affected citizens. In which area are the most of the relief forces needed? With a digital geospatial information system all stakeholders can be coordinated in real time.
The Airport in Stuttgart wants to handle its energy resources more efficiently. Currently these resources are handled independently from each other without causalities. To make savings capacities visible, they use a sensor based Smart Data Platform, which combines data from different resources such as energy management data, weather forecast and information from external (energy) service providers.
Touch Application BMWi Research Programs
With our Touch Application, visitors can inform themselves about various research programs and projects as well as about general interesting facts of Big Data and Smart Data. The content can be discovered via different media formats such as video, puzzle plays or quiz games.
Virtual-Reality Demo „Smart Data – Innovations in Data“
The Federal Ministry for Economic Affairs and Energy is presenting their research projects of the program “Smart Data – Data Innovations” due to a Virtual Reality Application. The guest can use the VR glasses to be in the role of a fictitious character named Dana Smart who is using Smart Data in her every-day life actions.
With a programing platform, Fraunhofer IAIS wants to involve school students in programming processes for little Lego robots. The Project has existed since 2014 and is sponsored by Prof. Dr. Johanna Wanka, Minister of Education and Research.
CUPINTOSH – Hands on IoT Demo
CUPINTOSH presents the main functionality of the Internet of Things. A classic coffee cup is connected via sensors with Twitter, so every time someone is lifting the cup, it is sending a tweet.
Cloud computing allows enterprises to obtain IT resources from specialized providers on-demand, rather than buying and operating them on their own. This includes fundamental infrastructure elements such as servers or storage space, as well as standard and specific software used online. Especially small and medium-sized enterprises can benefit from cloud computing: they are relieved from basic IT activities, like creating regular backups or updating to the latest software versions, thus focusing on pursuing their actual business objectives. Furthermore, cloud computing makes it possible to adjust the number of resources automatically and dynamically, according to temporary load. Additional servers may be rented for a short period of time (e.g., to prevent the temporary overload of a website), avoiding unnecessary costs when server capacities are not needed any more.
In Smart Data Forum, innovative projects and research groups have the opportunity to present themselves in the video teaser format. The Smart Data Dashboard was developed at the Fraunhofer IPK as part of the research project “Informationsfabrik 4.0”. Based on the common concept of a factory, the project explores and develops the information factory – a digital workbench to produce information. With the help of the dashboard, smart data can be experienced within the collaboration of product developers and operators of the system.
Today, data is the key resource for successful companies. Smart services, innovative range of services and automated operations require a secure exchange and a simple combination of data. Industrial Data Space is an initiative designed for creating a secure data space, enabling companies of various industries, dimensions and sizes to an autonomous management of their data assets.
Smart Health Demo
Das Forschungsprojekt des Berlin Big Data Centers aus dem Bereich E-Health zeigt, wie eine Gesundheitsplattform dabei helfen kann, die eigene Gesundheit zu überwachen. Mit dem interaktiven Dashboard ist es möglich, kontinuierlich gesundheitsbezogene Daten zu erfassen. Die Nutzer können z.B. Ernährungsdaten, Bewegungsmuster oder Schlafgewohnheiten erfassen. Auf Grundlage der Daten ermittelt das System einen Gesundheitswert (Smart Health Score), welcher dabei hilft, den eigenen Lebensstil zu verbessern und das persönliche Wohlbefinden zu erhöhen.
Neuronale Netze werden heute häufig für die Analyse komplexer Daten eingesetzt – zum Beispiel um in genetischen Informationen Hinweise auf Krankheiten zu entdecken. Letztlich aber weiß niemand, wie diese Netzwerke eigentlich genau arbeiten. Fraunhofer-Forscher haben deshalb eine Software entwickelt, mit der sie in die Black Boxes hineinschauen und deren Arbeitsweise analysieren können. Der Demonstrator visualisiert, worauf der black-box Algorithmus bei der Analyse von Daten schaut.