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Tag: Public Event

GEOSummit – Session on New Methods in Spatial Data Analytics

With the increasing availability of spatial data, analysis methods are also evolving. It is therefore not surprising that, in addition to established approaches from the field of machine learning, Large Language Models, which are very present in the media, are also used when working with spatial data. But are these sometimes very complex methods only to be found in research or are there already concrete applications and operational services in Switzerland? Examples from research and practice are presented, which are convincing with new methods of spatial data analysis.

Find more information on the official website.

Smart services with AI and own data – Service Lunch: „Eating, Learning, Networking“

Chris Bochsler from Cando uses a practical example in the field of energy management to show how AI enables new, smart services. Both customer documents and real-time data are linked to an LLM (RAG) in order to achieve even more relevant results. This with full consideration of data protection and privacy.

Key Speaker

Christoph B. Bochsler
Managing Partner

Online, Participants get an access link after registration.
25. April 2024, 11.45h – 12.15h

Brown bag lunch – (Please bring your own food)

Webinar: Success Stories – How Innovation Boosters Powered by Innosuisse Support Innovation Projects

What are the Innosuisse Innovation Booster and how can they support open and radical innovation? Three different boosters present themselves, and supported project ideas are introduced by their project leaders. Take part and gain insight into this exciting funding instrument!

Registration (SurveyMonkey):

Webinar – Generative KI für SPARQL und SQL – Stand der Forschung und Einsatz in der Lehre am Beispiel von QLever

Die generative KI (GenAI) zur Umsetzung natürlich-sprachlicher Fragen in SPARQL- und SQL-Abfragen zeigt bereits erstaunliche Ergebnisse. In der Lehre bietet sie den Studierenden einen niederschwelligen Zugang zu diesen deklarativen Datenbankabfragesprachen. Am Beispiel von QLever und anderen Werkzeugen werden der Stand der Forschung und der Einsatz in der Lehre vorgestellt. Auch Anwendungen wie die Konvertierung und Abfrage von Daten aus OpenStreetMap (OSM) werden behandelt. Dabei werden auch Probleme aufgezeigt. Beispielsweise hat GenAI die Schwäche, dass falsche Entity Identifier generiert werden, was zu unbrauchbaren Abfragen führt. Ein anderes Problem ist das Matching von Entitäten zwischen OSM und anderen Datenquellen. Seien Sie bei diesem Databooster Webinar dabei, wir erwarten eine interessante Diskussion mit einer namhaften Referentin.

Dieses Webinar wird auf Deutsch gehalten.

Prof. Dr. Hannah Bast (Albert-Ludwigs-Universität Freiburg) ist im Bereich der angewandten Algorithmik aktiv und ihre Forschungsinteressen umfassen unter anderem Algorithmen für die Routenplanung, Aspekte des Information Retrieval (Indexerstellung, Abfrageverarbeitung, Benutzerschnittstellen, ganze Informationssysteme) und die Verarbeitung natürlicher Sprache, mit und ohne Deep Learning


  • 16:00 Begrüssung und Vorstellung der Hauptreferentin
  • 16:10 Inputvortrag (Prof. Dr. Hannah Bast)
  • 16:55 Ergänzende Inputs (Prof. Stefan Keller)
  • 17:05 offene Diskussion und Ausblick
  • 17:30 Schluss des offiziellen Programms

Project Day

The Innovation Booster Databooster is organizing the Project Day, where previously supported innovation teams will present their projects and their developments in previous years to companies and interested partners.

Keep the date open! Additional information will soon follow.

Expert Day

Selected Expert Groups from the data innovation alliance will present themselves at this half-day event. Current projects, trends and potential collaborations will be presented, discussed and worked on in interactive sessions. 

FHNW Campus Brugg-Windisch, 100m from Brugg station
Bahnhofstrasse 6, 5210 Windisch, Room 5.0A52

13:30Welcome & Registration
14:00Welcome speech by FHNW: Eyes on Human-Data Interaction by Prof. Dr. Arzu Çöltekin, FHNW
14:15Keynote Lessons learned on scaling after 1 year of GenAI by Dr. Marcin Pietrzyk, co-founder and CEO of Unit8
14:45Expert Group Break-out (1)
15:30Coffee Break
16:00Expert Group Break-out (2)

Human data interaction via visual analytics

Prof. Dr. Arzu Çöltekin, FHNW

Arzu Çöltekin is a professor of Human-Computer Interaction, Visualization and Extended Reality, and leads the Institute of Interactive Technologies at the University of Applied Sciences and Arts Northwestern Switzerland. She is also a research affiliate at the Seamless Astronomy group in the Harvard-Smithsonian Center for Astrophysics of the Harvard University in Cambridge, USA, collaborating on scientific data analysis and visualization research. She chairs the international Extended Reality and Visual Analytics working group with the ISPRS; co-chairs the Commission on Geovisualization with the ICA, and is a council member with the International Society of Digital Earth (ISDE). Her interdisciplinary work covers topics related to information science, visual analytics, visualization and cartography, virtual/augmented reality, gaze-contingent displays, eye-tracking, vision (perception and cognition), and human-computer interaction.

Smart Maintenance – Hybrid approaches to intelligent maintenance

Part 1: Predictive Maintenance @ABB: a Technology Company’s Point of View

Kai Hencken is Corporate Research Fellow for “Physical and Statistical Modeling” at the ABB Corporate Research Center, Baden-Dättwil, Switzerland. He holds a Ph.D. and a habilitation in theoretical physics from the university of Basel, where he is currently a lecturer. He joined the ABB Corporate Research Center in Baden-Dättwil in 2005 as a member of the theoretical physics group. His research interests are the combination of physical modeling, data analytics, and statistical methods to solve problems related to industrial devices. He works predominantly on developing diagnostics and prognostics approaches for different products, covering the range from sensors and signal processing to mathematical methods in prognostics.

Predictive Maintenance is one of the main application areas of the Industrial Internet of Things. The wide deployment of sensors and their connectivity allows to collect big amounts of data from devices in the field. The exponential increase of computing power and the recent developments in data analytics and machine learning makes the application of advanced algorithms possible. We are also facing changes in the way maintenance work is done and how its importance is seen.

ABB is a technology company providing devices and solutions in the area of electrification and automation. Many of their offerings in the area of digitalization and specifically predictive maintenance are geared towards their own products. This leads to topics that are specific for these cases in addition to the common ones.

In my talk I will discuss some of these issues and how they can be addressed: The domain knowledge and the simulation capabilities within the company are one of the big assets of any manufacturer. Reusing this for predictive maintenance solutions is an important aspect. For highly reliable products failure data will remain scarce even for a large installed base. This is a major bottleneck for any data-driven approach and needs to be overcome. The focus of many solutions developed is to provide monitoring and diagnostics capabilities. The prognostics aspect and the proposal of actions to be taken to remedy potential problems are often more important for the final customer. Examples are taken predominantly from electrification and motion devices.

Part 2: Discussion of combining physics and domain knowledge with AI for intelligent maintenance and operation

AI in Finance and Insurance – The Future of Financial Data Analytics
  • 14:45 – 14:55 – Intro and introductions
  • 14:55 – 15:30 – Presentation: Nicole Königstein, Chief Data Scientist, Head of AI & Quant Research, Wyden Capital AG: “Financial Times Series Prediction in the Age of Transformers”+ Open discussion and Q&A
  • 15:30 – 16:00 – Break
  • 16:00 – 16:30 – Presentation: Guillaume Raille, Engagement Director & Data Scientist at Unit8 SA: LLMs beyond Chatbots: Unveiling the challenges of advanced LLM applications based on a real-world use cases+ Open discussion and Q&A
  • 16:30 – 17:00 – Discussion on topics that might be relevant for the DIA in the future and how to organize
Spatial Data Analytics – AI-driven Probability Maps

In the field of environmental monitoring, artificial intelligence (AI) coupled with probability maps emerges as a powerful tool for comprehensively understanding and managing ecological systems. By harnessing machine learning algorithms, intricate patterns within environmental datasets can be discerned with unprecedented accuracy. Based on this understanding, probability maps can be calculated to offer valuable insights into the likelihood of various environmental events. These maps serve as crucial decision-making aids for policymakers, conservationists, and researchers alike, enabling proactive measures to mitigate ecological threats and promote sustainable practices.


  • 14:45 – 14:55 – Intro and introductions (Dr. László István Etesi, Prof. Gerd Simons – FHNW)
  • 14:55 – 15:30 – Probability Maps: Current research & applications in the field of environmental monitoring
  • 15:30 – 16:00 – Break
  • 16:00 – 16:30 – Indicate challenges around robust multi-sensor & multi-scale data integration and harmonization 
  • 16:30 – 17:00 – Discussion on ideas which can be further evaluated in the frame of the Innovation Booster
Workshop Governance for Growth with Data & AI

14:45 – 15:30
1. Growing with Data and AI, dealing with Governance. Introduction to the objectives of the new Expert Group in planning (Philipp Kuntschik, adesso Schweiz AG & Dr. Sarah Seyr, HSLU)
2. Transparency and Privacy for Data Governance – Can we have both? (Dr. Omran Ayob, SUPSI)
3. AI Maturity Framework (Frank Seifert, adesso Schweiz AG)

15:30 – 16:00 – Break

16:00 – 17:00
Maintaining integrity along the Data and AI value chain (interactive session):
– Explore data governance practices from data collection to data protection.
– Discuss algorithmic health and management of AI systems.
– Engage in user-centered communication and transparency strategies.

Open Innovation & Innovation Booster Webinar

Implementation of open innovation within the framework of the Innovation Booster’s (IB) “Artificial Intelligence” and “Databooster” powered by Innosuisse. Get to know new opportunities followed by a Q&A session.

The challenges of our time need innovative concepts, approaches and solutions. The IBs supports this process – from the identification of challenges and the development of ideas to the initialization of innovation projects. In this webinar, you will learn about the funding opportunities within the framework of the IBs, the application process and further opportunities and services provided by the IBs and the data innovation alliance.

9th R&D Conference Industry 4.0

The “R&D Conference on Industry 4.0” was created in the knowledge that networking and cooperation with universities is an important success factor for companies’ innovation activities. Industrie 2025 is pleased to invite you for the 9th time to get an overview of the diverse activities of universities and universities of applied sciences on Industry 4.0 topics in a compact format. You will be presented with 22 university projects every 5 minutes from the fields of Artificial Intelligence, Smart Factory, Digital Twin and many more. You will get an efficient overview of the topics of the near future and find out what is being researched and developed at universities and universities of applied sciences in the field of Industry 4.0. The data innovation alliance will of course also be there to present the Innosuisse innovation booster Artificial Intelligence and Databooster.

Registration and schedule can be found on the official website!

Service Lunch: „Eating, Learning, Networking“

This talk gives an overview of how MYBLUEPLANET uses the ClimateActionsApp as a tool to ignite and track individual actions for a more sustainable way of living. MYBLUEPLANET is a Swiss NGO with the mission to take individual and collective action against climate change.

Key Speaker

Noah Gunzinger
Managing Director

Online by Microsoft Teams, Participants get an access link after registration.
Registration is open until Monday, January 9th, 2024

MYBLUEPLANET: An association for climate protection in Switzerland

Future Lab KI: Studierende und Unternehmen schmieden die Zukunft

🚀 Einladung zum “Future Lab AI” – Gemeinsam KI-Geschichte schreiben! 🤖

Hallo liebe Partner und KI-Begeisterte,

Bereiten Sie sich darauf vor, KI-Geschichte zu schreiben! 🚀 Beim “Future Lab AI” arbeiten Studierende, Unternehmen und Wissenschaftshelden zusammen, um innovative Anwendungen und Visionen im Bereich Künstliche Intelligenz zu entdecken und die digitale Zukunft von Unternehmen zu gestalten.

Wann? 📅 Am 29. November 2023, von 12:00 Uhr bis 15:00 Uhr

Wo? 📍 HSLU Hochschule Luzern, Technikumstrasse 21, 6048 Horw

Registrierungslink: Hier anmelden

Unsere Mission:

🌟Wir haben die klare Mission, den Weg für eine aufregende KI-Zukunft zu ebnen. Hier ist ein kleiner Vorgeschmack auf das, was Sie erwartet:

👋 Willkommen: Ein herzlicher Empfang und Gelegenheit zum Kennenlernen.

🗝️ Keynote 1: “Der Einsatz generativer KI in KMU” – Lernen Sie, welche Einsatzfelder es für künstliche Intelligenz im Unternehmen gibt.

🔍 Keynote 2: “Probleme in KMUs bewerten” – Wir beleuchten, wie man Herausforderungen im Unternehmen hinsichtlich einer die KI-gesteuerten Lösungen untersucht.

💡 Arbeit an Fallbeispielen: Praktische Anwendungen von KI in Unternehmen, damit Sie die Power der KI hautnah erleben können.

💬 Diskussion und Abschluss: Gemeinsam reflektieren wir, was wir heute gelernt haben, und schmieden Pläne für eine aufregende Zukunft.

🤝 Möglichkeit zur Vernetzung: Knüpfen Sie wertvolle Kontakte und erkunden Sie Kooperationsmöglichkeiten.

Registrierung: 🎟️ Die Teilnahme ist kostenlos, aber die Plätze sind begrenzt.

Wir können es kaum erwarten, gemeinsam mit Ihnen an der Zukunft der Künstlichen Intelligenz zu arbeiten und dabei Studierende und Experten zu verknüpfen. Wenn Sie Fragen haben oder weitere Informationen benötigen, stehen wir Ihnen gerne zur Verfügung.

Lassen Sie uns zusammen KI-Geschichte schreiben und die digitale Zukunft von Unternehmen gestalten!