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Tag: Public Event

Fabric Governance Webinar

Discover the Future of Data Management with Microsoft Fabric: A Must-Attend Webinar for Technology Leaders

In an era where data is the new oil, managing it effectively has become crucial for every organization’s success. Microsoft Fabric, the groundbreaking SaaS platform, is redefining the landscape of data management by integrating Data Engineering, Data Science, Data Integration, Real-Time Data, and Reporting into a cohesive, user-friendly environment. Leveraging the robust foundations of Purview and Azure Active Directory, it ensures unparalleled security and governance. Yet, as a leader in your organization, you understand that adopting new technologies comes with its set of challenges and questions, especially around governance, security, compliance, and establishing stable DevOps processes.

This exclusive webinar is tailored specifically for Managers who are keen to harness the full potential of Microsoft Fabric within their data strategy. We aim to delve deep into the critical aspects that transcend the platform’s fundamental capabilities. Our expert-led sessions will provide you with advanced insights on planning, designing, and deploying Microsoft Fabric effectively, ensuring it aligns with your overarching data strategy and propels your organization towards a data-driven future.

Join us to uncover how Microsoft Fabric can not only enhance your data management capabilities but also ensure that governance, security, and compliance are at the forefront of your digital transformation journey. This is your opportunity to engage with industry experts, gain valuable insights, and network with peers who are navigating the same path towards becoming truly data-driven organizations.

Reserve your spot today and take the first step in shaping a future where data empowers your strategic decisions, drives innovation, and fosters a culture of transparency and efficiency within your organization. Don’t miss out on this transformative journey with Microsoft Fabric.

Co-Creation Workshop: Low-Code/No-Code Technology for Digital Health Innovation

Hosted at the REFSQ 2024 conference in Winterthur on Monday 8 th April 2024

No single industry is left untouched by the digital transformation. The success of this transformation is determined by how well the stakeholders in the specific sectors adopt digital technologies and how productively they utilize them. In the field of digital health innovation, new technologies are increasingly being used, especially at the interfaces between healthcare organizations, pharmaceutical companies, and insurers. In this workshop we focus on low-code/no-code technology that reduces the traditional distance
between requirements engineering and software development.

The requirements for these technologies are complex and need to be elicited from heterogeneous sources to ensure full coverage of stakeholders’ needs. Accordingly, many challenges exist, such as:

  • How to design reliable systems in complex environments with many stakeholders?
  • How to enhance the communication and interpretation of requirements?
  • How to effectively reduce the technical knowledge gap of domain experts?
  • How to actively engage healthcare experts in the software prototyping process?
  • How to automatically integrate business logic and domain data specified in Excel sheets or other business artifacts?
  • How to ensure early in the development process that the solution is going to meet the requirements?
  • How to integrate healthcare-related regulations and standards in software solutions?
  • How to ensure that digital solutions are sustainable in terms of technical, social, individual, economic, and environmental aspects?
  • How to enhance the human understanding and evolvability of digital solutions?
  • Etc.

This one-day interactive workshop will engage the participants in the analysis of contemporary challenges with the objective of collaboratively identifying the research and industry actions to achieve sustainable digital health innovation. The envisioned participants include applied researchers and engineers from the MedTech-domain, combined with some interested international experts that attend the main REFSQ 2024 conference. Various aspects on the way from idea to practical implementation and application will be
highlighted and discussed in short break-out sessions. The goal is to prepare outlines for Innosuisse project proposals that need to be worked out in small teams after the workshop.

The workshop is hosted and organized by the ZHAW’s Software Engineering research group and the Innovation Booster Artificial Intelligence.

Register here:

Preliminary program

09:00 – 09:30
Welcome and workshop goals.
Icebreakers: getting to know each other.
09:30 – 10:30
Collect core engineering challenges for digital health innovation perceived across the domain (breakout brainstorm, present/discuss, rate).
10:30 – 11:00
Coffee break
11:00 – 12:30
Presentation on the Low-code/no-code expertise of ZHAW’s Software Engineering research group (including a live project demo).
Collect feedback: What resonates well? What are valuable additions?
– Define multiple topics to work on in the afternoon, each combining:Digital health innovation challenge
– Software engineering technology
– The role of software developers and domain users: Software development for all.
12:30 – 14:00
Lunch break
14:00 – 15:30
World café: fostering collaboration to address challenges for sustainable and innovative digital health.
15:30 – 16:00
Coffee break
16:00 – 17:00
Presentation of the results and collect additional ideas.
Investigate who is interested in participating in and writing project proposals on these topics.
17:00 – 17:30
Collect feedback on the workshop.
Wrap up and next steps.

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. 

14:45Expert Group Break-out (1)
15:30Coffee Break
16:00Expert Group Break-out (2)

Smart Maintenance – 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.

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
Big Data & AI Technologies

Coming soon!

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

Vortragsreihe an der Universität Zürich

When global equipment manufacturers embark on a digital journey. Legal aspects and challenges of global digital offerings

lic. iur. Francisca Scharpé

General Counsel Europe Mettler-Toledo International Inc., Greifensee

Freitag, 24. November 2023
12.00 – 12.30 Uhr Sandwiches und Getränke
12.30 – 13.45 Uhr Vortrag und Diskussion

Ort: Kino Filmpodium, Nüschelerstrasse 11, 8001 Zürich

Der Vortragsbeitrag beträgt CHF 60.- inkl. Unterlagen, Sandwiches und Getränke
Anmeldung per Internet unter
Alle Informationen finden Sie im Flyer!

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!