Es gibt eine Viezahl an Daten, die einen räumlichen Bezug haben – nicht nur erhoben durch Unternehmen oder Forschungseinrichtungen, sondern auch durch Bundesbehörden oder Kantonale Ämter. Doch wie findet man die “richtigen” Daten und wie kann man diese in eigene Anwendungen und Dienstleistungen integrieren?
In der erste Präsentation dieses Webinars stellt ein Team der FHNW den GeoHarvester vor, ein Proof-of-Concept (PoC) einer einfach zu bedienenden, mehrsprachigen Suchmaschine für Schweizer Geodienste – mit offener API und offenem Quellcode.
Die zweite Präsentation von Dr. Ralph Straumann beleuchtet den Stand der Schweizer Geoinformations-«Landschaft» im Jahr 2024 sowie aktuelle und künftige Herausforderungen bezüglich der Produktion und Bereitstellung von Geodaten – und versucht, einige Lösungsansätze aufzuzeigen.
Prof. Stefan F. Keller rundet das Webinar ab. Bei allen Referaten besteht die Möglichkeit, Fragen zu stellen.
Programm (90 min.): 11:00 Einführung (Stefan Keller FH OST) (5 min.) 11:05 GeoHarvester PoC – eine Suchmaschine für Geodienste der Schweiz (Pia Bereuter, Friedrich Striewski und Elia Ferrari, FHNW Muttenz) 11:40 Schweizer Geoinformationen: Connecting the dots, perpetual beta (Ralph Straumann, EBP) 12:15 Geoinformation-Auffindbarkeit und -Nutzbarkeit quo vadis? (Stefan Keller, FH OST)
Due to rising social expectations and new laws on the responsible use of artificial intelligence (AI), it is becoming increasingly important for companies to ensure the trustworthiness and ethical acceptability of AI applications. However, instead of viewing these requirements merely as a challenge, they also offer companies the opportunity to innovate and differentiate themselves from the competition. The aim of this event is to jointly explore the business challenges in the area of responsible AI. It will also discuss how companies can proactively use these requirements to tap into new innovation opportunities and position themselves sustainably in the market.
The Service à l’Innovation et à la Recherche (SIR) of the HES-SO is organizing a webinar on June 24, 2024 (12:00-13:00) to present two ideas supported by the Innosuisse Innovation Booster program. The funding opportunities in the frame of the Innovation Booster databooster and Artificial Intelligence, for which Nabil Abdennadher, professor at HEPIA, is the representative in French-speaking Switzerland, will be introduced and explained.
In this workshop we will be exploring ideas in the field of financial risks of Smart Services focused on risk types in manufacturing and investment. The aim is to figure out up the pains of machine builders and what solutions could be applied to them and how service providers can offer financial services in an economical way to cover these needs.
We are looking forward to inspiring and tought-provoking discussions with participants. Register now using the form below.
Der Databooster organisiert gemeinsam mit vier Firmen einen 2.5-tägigen Workshop zum Thema “Wie können Unternehmen mit ihren Partnern und Kunden mit neuen und bestehenden Services resilienter und gleichzeitig nachhaltiger werden?”
Es ist deutlich geworden, dass Business Ökosysteme widerstandsfähiger werden müssen. Durch Smart Service Systeme können vorhandene Ressourcen neu ausgerichtet und verwendet werden. Dies ermöglicht Unternehmen, robuster gegenüber Störungen zu werden oder sich nach solchen rascher wieder zu erholen.
Herzlichen Dank an das Mobiliarforum Thun für die Mithilfe bei der Organisation.
We would like to invite you to the GEOSummit open innovation workshop on “Open Data Value Creation”, hosted by ERNI in Zurich.
Creating value based on open data is difficult, as topics such as harmonization of data formats, automatic data lineages or the standardization of data linkage processes are technically challenging and also not unproblematic from a regulatory point of view. But even supposedly simpler steps such as contextualized data search and raising awareness of the availability of open data in general have only been implemented to a very limited extent.
In this workshop, we would like to invite stakeholders from research, industry, NGOs and the public sector to work on solutions and to define concrete steps on how to improve value creation through open data. Dr. Jürg Meierhofer (ZHAW) will be our moderator and guarantees a result-oriented, structured approach to the workshop.
As thematic use-case we will focus on the energy sector. This includes, for example, the analysis of consumption data collected by sensors and smart meters – or, more generally, exploiting the potential of energy management systems due to the increasing electrification. Especially with regard to energy savings (e.g. usage-specific lighting scenarios), these so-called IoT recommender systems have the potential to deliver great added value. These areas are not detached from the building shell, which brings us back to the various smart building & construction technologies and of course to the electricity providers (e.g. with regard to dynamic tariffs). in this context, we discuss topics such as data protection, data infrastructure and data management, open platform ideas for data sharing and trading and the smart services that could be built on them.
Free participation, but registration is necessary: Link
Wir möchten Sie zum GEOSummit Open Innovation Workshop “Open Data Value Creation” einladen, der von ERNI in Zürich veranstaltet wird.
Die Wertschöpfung auf der Basis offener Daten ist schwierig, denn Themen wie die Harmonisierung von Datenformaten, automatische Datenabgleiche oder die Standardisierung von Datenverknüpfungsprozessen sind technisch anspruchsvoll und auch aus regulatorischer Sicht nicht unproblematisch. Aber auch vermeintlich einfachere Schritte wie die kontextualisierte Datensuche und die Sensibilisierung für die Verfügbarkeit offener Daten im Allgemeinen wurden bisher nur in sehr geringem Umfang umgesetzt.
In diesem Workshop möchten wir Akteure aus Forschung, Industrie, Nichtregierungsorganisationen und dem öffentlichen Sektor einladen, an Lösungen zu arbeiten und konkrete Schritte zu definieren, wie die Wertschöpfung durch offene Daten verbessert werden kann. Dr. Jürg Meierhofer (ZHAW) ist unser Moderator und garantiert einen ergebnisorientierten, strukturierten Ansatz für den Workshop.
Als ein mögliches Anwendungsgebiet steht hierbei der Energiesektor im Fokus. Dazu gehört z.B. die Analyse von Verbrauchsdaten, die durch Sensoren und Smart Meter gesammelt werden – oder ganz allgemein die Nutzung des Potenzials von Energiemanagementsystemen aufgrund der zunehmenden Elektrifizierung. Gerade im Hinblick auf Energieeinsparungen (z.B. nutzungsspezifische Beleuchtungsszenarien) haben diese sogenannten IoT-Recommender-Systeme das Potenzial, einen großen Mehrwert zu liefern. Diese Bereiche sind nicht losgelöst von der Gebäudehülle, womit wir wieder bei den verschiedenen intelligenten Gebäude- und Bautechnologien und natürlich bei den Stromanbietenden Organisationen sind (z. B. im Hinblick auf dynamische Tarife) sind. In diesem Zusammenhang diskutieren wir Themen wie Datenschutz, Dateninfrastruktur und Datenmanagement, Ideen für offene Plattformen zum Datenaustausch und -handel und mögliche, darauf aufbauende “intelligente” Dienste.
SwissText is an annual conference that brings together text analytics experts from industry and academia. It is organized by the Swiss Association for Natural Language Processing (SwissNLP) in collaboration with the University of Applied Sciences and Arts of Western Switzerland (HES-SO // HE-Arc) as well as the Zurich University of Applied Sciences (ZHAW) and the data innovation alliance.
Industrie 4.0 ermöglicht es Unternehmen, ihre Prozesse transparenter zu gestalten und die Integration von internen und externen Partnern neu zu gestalten. Je nach Grad der Partnerintegration können sogar ganze Ökosysteme, bestehend aus Lieferanten, Kunden, Konkurrenten und Substitutionsunternehmen, etabliert werden.
Die Konferenz Perspektiven mit Industrie 4.0 bietet einen Einblick in unterschiedliche Möglichkeiten der Ökosystemgestaltung. Die Inhalte der Konferenz umfassen unterschiedlichen Lösungsansätze (“best practices” aus Unternehmen) zu folgenden Fragen:
Wie kann die Transparenz in Supply Chains dank Industrie 4.0 erhöht werden (traceability)?
Wie können dank Industrie 4.0 neue Geschäftsmodelle mit stärkerer Kundenintegration gestaltet werden?
Wie können ganze Partnernetzwerke in Ökosysteme überführt und somit neuartige Ressourcen und Kompetenzen erschlossen werden?
An der Konferenz Perspektiven mit Industrie 4.0 werden Lösungen von und für Schweizer KMU präsentiert, die pionierhaft und mustergültig sind. Wir laden Sie ein, sich davon inspirieren zu lassen und freuen uns über Ihre Teilnahme.
The construction industry has been undergoing a digital transformation, with data science playing an increasingly important role in improving efficiency, reducing costs, and enhancing safety. However, to fully realize its potential, it’s essential to promote open innovation and collaboration between data scientists and construction experts.
For this purpose, the first open innovation workshop on “Construction & Data Science” was recently held in Zurich, Switzerland, bringing together 40 participants from both fields to explore the intersection of construction and data science.
Findings
To improve cooperation between the construction industry and data science, the workshop formulated central key findings:
Focus on creating structured data sets across projects, teams, and companies and move away from managing data in CAD systems.
Don’t wait for new standards to be defined, learn to combine information from different sources and standards by mapping it.
Consider using other ways of pulling data from CAD tools, like Speckle or an IFC-based modeling tool like Blender.
Engage in open source or open data projects and learn from others, especially in rapidly evolving technology.
Check out sites like www.opensource.construction/ to proactively work towards changing the status quo and improving the industry.
The summary is also nicely put together in the Linkedin post by opensource.construction’s President, Maximilian Vomhof.
The Event The workshop aimed to identify potential problems and solutions in this area and to promote open innovation and collaboration between data scientists and construction experts. In this blog post, you will find a report on the insights gained from the workshop and highlight the importance of open innovation in these industries.
The workshop was organized jointly by opensource.construction, bauen digital Schweiz, and the data innovation alliance at Amstein + Walthert in Oerlikon. After a short introduction to the Databooster program, the passive part for the participants was over!
The workshop was structured according to the double diamond framework from design thinking, which consists of four stages: discover, define, develop, and deliver. After the four groups got to know each other, they explored the problem space at the intersection of construction and data science or data engineering. In this phase, the focus was on generating a wide range of ideas and potential solutions by asking “why” questions and understanding the workings of the construction industry as a data scientist – essentially, “falling in love” with the problem.
At this workshop, “love” was certainly in the air, with many questions generated. Of these, five problems were identified as most relevant:
Optimized building scans
Open-source door planning configurator
Linked product data
GIS data linked with building laws
Open data environment for storing and linking element-independent information
In the second part of the workshop, powerful teams were formed around the ideas generated. They not only focused on potential solutions but also on related business cases, which added a practical, pragmatic dimension to the ideation process.
One of the solutions produced was standardization, particularly in the light of data formats. However, it was agreed that establishing standards and achieving consensus could take a long time – a luxury that the construction industry simply doesn’t have. It was essential to identify quick and effective solutions that could be implemented without major delay.
Despite the apero long being ready, the teams were still deeply engaged in finding innovative solutions that could be launched swiftly. The teams agreed to follow up on their ideas and continue pushing for change, possibly using the Innovation Booster Databooster, something we are particularly happy to hear.
In conclusion, we believe that the Innovation Booster Databooster initiative is a valuable resource for teams to develop and implement their solutions generated using the double diamond design thinking structure. We look forward to seeing how these ideas will shape the future of construction and data science!
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