Join us for an afternoon workshop of learning, discussion, and networking, focused on the latest trends and real-world challenges in implementing digitalization and AI across the infrastructure, energy, mobility, and manufacturing sectors.
Time: Thursday, 25 September 2025, 13:00–17:30 Location: Zurich University Main Building, Rämistrasse 71, 8006 Zurich Room: KOL-E-18
Agenda:
13:30-13:45: Gathering and introduction
13:45-15:15: An interactive panel discussion “Successes and Challenges of Digitalization Efforts” featuring experts from different industry branches. Participants: Swiss Intl. Airlines, Stadler Services, Hitachi Energy, AXPO Schweiz, Endress+Hauser
15:30-16:30: A use-case presentation and demo “Boosting Industrial Health Monitoring with LLM Assistants”. Prof. Manuel Arias Chao (ZHAW & TU Delft )
Möchten Sie künstliche Intelligenz (KI) in Ihrem Unternehmen einsetzen, sind sich aber unsicher, wie Sie dabei vorgehen sollen? Möchten Sie die Effizienz Ihrer Mitarbeiter steigern und Prozesse automatisieren, hatten aber bisher weder die Zeit noch die Ressourcen oder das richtige Team, um dies umzusetzen? Genau hier können wir Ihnen helfen! Bei diesem Workshop werden wir gemeinsam über die Entwicklung kreativer und innovativer KI-Lösungen nachdenken, um Ihre realen Probleme zu lösen.
Oder möchten Sie Ihre eigene Innovationsherausforderung challengen lassen? Für Sie als Challenge Owner bietet die Veranstaltung die perfekte Gelegenheit, eine konkrete Herausforderung vorzustellen und Ihre KI-Reise zu beginnen. Nutzen Sie die Chance, mit erfahrenen KI-Coaches und Mentoren zusammenzuarbeiten und gemeinsam zukunftsorientierte Lösungen zu entwickeln!
Zielgruppe und Sprache Offene Veranstaltung für alle interessierten Personen am Thema, insbesondere Führungskräfte im digitalen Bereich (Chief Digital Officer / Head Digital / Chief Transformation Officer / Head Transformation / Chief Innovation Officer / Head Innovation / CIO / CTO)
Der Workshop findet auf Deutsch statt; Fragen können gerne auch in Englisch gestellt werden.
Call to Action: Bitte beschreiben Sie im Vorfeld des Workshops kurz die folgenden Aspekte Ihrer Challenge:
Warum ist das Problem relevant? Warum ist eine Lösung wünschenswert?
Wie schafft die angestrebte Lösung wirtschaftlichen Mehrwert für die beteiligten Akteure im Ökosystem (Kunden, Anbieter, Partner etc.)?
Was muss für die Lösung entwickelt werden?
Bitte senden Sie uns vorab zum Workshop Ihre konkrete Challenge an folgende E-Mail-Adresse und bringen Sie diese zum Workshop mit! Damit der Workshop maximalen Mehrwert bietet, laden wir Sie herzlich ein, eine reale Herausforderung aus Ihrem Unternehmens- oder Projektkontext mitzubringen, die Sie aktuell beschäftigt – idealerweise eine, die die oben genannten Fragen adressiert.
SENDEN AN: event@swissict.ch Anmeldung bis 24.09.2025
Kosten Kostenlos. Bitte informieren Sie uns so schnell wie möglich, falls Sie nicht teilnehmen können.
Mithilfe von KI wird es für technisch versierte Anwender immer einfacher, Daten zu verarbeiten, d.h. sie zu bereinigen, zu integrieren, zu verwalten, zu visualisieren und zu analysieren. Tools wie ChatGPT, Copilot und ähnliche KI-Programme helfen dabei, Skripte und Code in Sprachen wie SQL, JavaScript oder Python zu erstellen, anzupassen oder direkt auszuführen. Gleichzeitig ermöglichen Big-Data-Datenverarbeitungswerkzeuge wie Apache Hop durch ihre grafische Benutzeroberfläche das intuitive Erstellen von Datenflüssen und Transformationsprozessen per Drag-and-Drop. Apache Hop ist eine Open-Source-Alternative zu den kommerziellen Programmen FME oder Qlik Talend. In diesem kostenlosen Webinar werden die Potenziale und Grenzen der KI-gestützten Enterprise- und Geo-Datenintegration aufgezeigt sowie Apache Hop kurz vorgestellt.
Das Webinar richtet sich an IT-Verantwortliche, Data Engineers, Datenmanager:innen im Ingenieurbüros, Unternehmen, Organisationen, oder öffentlichen Einrichtungen.
The RiskOn event on September 2nd – 3th, 2025 brings together experienced risk professionals with experts and talents from Switzerlands leading universities to co-create innovative solutions in the realm of risk management.
Co-Create innovative solutions in 30h Team up with other students, corporate partners, and industry experts to take part of the annual innovation challenge in risk management
2 Co-Create In multiple ideation sessions you will adress problems faced by corporate partners and create a proof of concept / minimum viable product (MVP)
Challenges to tackle
1) Quality Assurance for Client Contact Notes — How can AI help?
2) KYC vs. Adverse Media — Can AI match identities across sources?
3) AI-powered Fraud Detection — How can patterns reveal risk in private banking?
Leading the Shift: New Technologies in Data Science and Artificial Intelligence
Stay ahead of the curve with the latest advancements. You will gain exclusive insights into the forefront of emerging technologies and tools that are reshaping industries and redefining competitive advantage.
What you will experience:
Interactive Workshops: Participate in sessions designed to translate complex technologies into actionable improvements.
Visionary Keynotes: Hear from global thought leaders on the future trajectory of AI and data science.
Emerging Technologies: Explore advancements and their practical applications in areas such as generative AI and digital diagnostics.
Strategic Foresight: Understand how to align AI innovation with long-term business strategies.
Data in Action: Real-World Implementations from Strategy to Impact
Transform insights into impact. Discover how organizations are successfully integrating AI and data science solutions, overcoming challenges, and achieving measurable outcomes.
What you will discover:
Use Cases from different sectors: Learn from AI journeys in different industries and its commonalities and differences.
Implementation Playbooks: Understand the prerequisites, timelines, and investments required for successful AI adoption.
Overcoming Challenges: Gain insights into common hurdles like data quality and change management, and how to address them.
Measurable Outcomes: See the tangible benefits realized, from cost savings to enhanced customer experiences.
Beyond Boundaries: Expand Your Network & Exchange Across Industries
Engage with decision-makers from various branches. SDS2025 creates valuable opportunities for cross-sector collaboration and impactful exchange.
What you will gain:
A Variety of Networking Opportunities: Make contacts with like-minded people within and outside your sector who are facing similar situations.
Collaborative Opportunities: Identify potential partners for future projects and initiatives.
Networking Spaces: Take advantage of lounges, break-out areas and apéro sessions to encourage spontaneous yet meaningful conversations.
Many companies are currently developing and implementing Artificial Intelligence (AI) models for various business applications. In addition to the technical (how to do it?) and economical (is it worth it?) challenges, companies are also struggling with ethical and legal issues associated with the practical use of AI.
In this event, experts from various companies will present practical AI use cases and demonstrate how they have handled ethical and legal challenges associated with chatbots, AI analysis tools or AI-based marketing:
Christoph Bräunlich, BSI
Daniel Dobos, Swisscom
Max Reichen, Liip
Philipp Fischer, Walbusch
Join us for a pleasurable apéro afterwards!
Important: the event will be in German
The event is jointly organized by the data innovation alliance (Data Ethics Expert Group), the DSI Ethics Community and the Swiss Academy of Engineering Sciences SATW.
Viele Unternehmen entwickeln und implementieren derzeit Künstlichen Intelligenz (KI) Modelle und Tools für verschiedene Geschäftsanwendungen. Neben den technischen (wie geht das?) und wirtschaftlichen (lohnt sich das?) Herausforderungen kämpfen die Unternehmen auch mit ethischen und rechtlichen Fragen im Zusammenhang mit dem praktischen Einsatz von KI.
In dieser Veranstaltung werden Fachleute aus verschiedenen Unternehmen praktische KI-Anwendungsfälle vorstellen und zeigen, wie sie mit ethischen und rechtlichen Herausforderungen im Zusammenhang mit Chatbots, KI-Analysetools oder KI-basiertem Marketing umgegangen sind:
Christoph Bräunlich, BSI
Daniel Dobos, Swisscom
Max Reichen, Liip
Philipp Fischer, Walbusch
Geniessen Sie anschliessend ein gemütliches Apéro!
Wichtig: der Anlass wird auf Deutsch stattfinden
Der Anlass wird gemeinsam von der data innovation alliance (Data Ethics Expert Group), der DSI Ethics Community und der Schweizerischen Akademie für Technische Wissenschaften SATW organisiert.
Künstliche Intelligenz (KI) bietet auch vielen kleinen und mittelgrossen Unternehmen (KMU) das Potenzial, ihre Effizienz und Produktivität zu steigern. Allerdings wissen KMU oft nicht, wie und wo sie mit KI beginnen sollen. Mit dieser Veranstaltungen möchten wir Möglichkeiten aufzeigen, wie das Verständnis und die Anwendung von KI erleichtert werden kann – vom Aufbau von Vertrauen in KI-Technologien, über KI Regulierung bis hin zum strategischen sowie operativ erfolgreichen Einsatz.
Grundlage hierfür bilden der KMU KI Leitfaden von Innovate Switzerland, der Skills Navigator von Microsoft und der neue KI Praxis-Ratgeber von SAIROP und Erfahrungen aus Umsetzungsprojekten im Rahmen des Innovation Booster Artificial Intelligence. Es werden Einblicke in typische Bereiche des KI-Einsatzes gegeben, Qualifikationsrichtlinien zur Beurteilung von KI-Anwendungsfällen vorgestellt und mögliche Umsetzungsansätze sowie Erfolgsmuster diskutiert.
The Industrieforum 2025 will once again open its doors – and invites you to look at digitalization from different perspectives, discover success factors and network with leading minds in the industry. Immerse yourself in a day full of inspiring insights, specific best practices and valuable discussions. Take the opportunity to network with industry leaders, discover innovative solutions and shape change together.
Keynote:
Marc Gläser, CEO of Stöckli Swiss Sport AG – successfully on the road thanks to these factors! Marc Gläser shows the success factors that have brought the Stöckli brand to where it is today.
Topics:
Digital Journey – Digitization is not a linear process. Companies experience ups and downs, make mistakes and celebrate successes. These experiences are valuable learning opportunities for all those who are actively shaping the digital transformation.
Trends & Insights – Which technologies will shape the future? Which innovations will prevail? Experts share their insights and show how companies can benefit from current developments.
Culture & People – Technology alone is not enough. The digital transformation requires a rethink in the organization, new ways of working and a corporate culture that promotes change and involves employees.
Leader’s Panel – Added value through digitization. Entrepreneurs discuss the current economic situation and venture a look into the future. They show the added value that digitization brings to their companies.
Panel discussion on the EU Data Act – classification, opportunities and effects: Experts discuss how the EU Data Act influences companies and which strategies can contribute to optimal implementation.
How can AI be effectively leveraged today to create real business value? The Swiss AI Conference 2025 by Switzerland Innovation Park Central brings together leading experts to share hands-on insights, best practices, and concrete strategies for businesses.
When: Thursday, May 15, 2025 Where: Switzerland Innovation Park Central, Suurstoffi 18b, 6343 Rotkreuz
The event will be held in both English and German.
Wie kann AI heute gezielt eingesetzt werden, um echten Mehrwert zu schaffen? Die Swiss AI Conference 2025 des Switzerland Innovation Park Central bringt führende Expert*innen zusammen und bietet praxisnahe Einblicke, Best Practices und konkrete Strategien für Unternehmen.
Wann: Donnerstag, 15. Mai 2025
Wo: Switzerland Innovation Park Central, Suurstoffi 18b, 6343 Rotkreuz
The Smart Service Summit 2025 invites academics, industry leaders, and practitioners to explore how smart services, AI, digitalisation, and data-driven innovations contribute to value co-creation and sustainability in manufacturing, logistics, mobility, smart cities, and finance. As industries continue to evolve, the shift towards service-driven business models is gaining momentum. In this context, modular service platforms are becoming increasingly relevant, providing flexibility, adaptability, and opportunities for service innovation. These platforms enable firms to integrate digital solutions, optimise service delivery, and enhance co-creation within dynamic ecosystems. This year’s summit will connect academic research with real-world industry challenges, focusing on smart services as key enablers of business innovation, sustainability, circular economy reporting, and future-ready ecosystems.
iii. Sustainability Reporting & “People, Planet, & Profit”
Corporate Sustainability Reporting
Data Analytics for Sustainable Decision-Making
AI’s Role in Green Service Innovation
Sustainable Service Models via Digital Platforms
iv. AI, Ethics, and Service Innovation
AI and Human-Centric Service Models
Responsible AI and Governance
Regulatory Challenges in AI-Powered Services
Governance and Openness in Digital Service Ecosystems
Contributions are expected to be rigorously researched and provide new insights into the challenges and opportunities presented by digital technologies and AI in the context of value co-creation. All submissions will undergo a peer review process, with accepted papers to be included in the conference proceedings published by Springer.
As with previous years, we are looking for early-stage research and will publish the proceedings with Springer again. Furthermore, we will use industry to set the scene and the context from their position and follow them with impactful academic presentations.
14.07.2025 – Abstract Submission Deadline 21.07.2025 – Notification of Acceptance 21.09.2025 – Full Paper Submission Deadline
Abstract Submission: Submit via [EasyChair https://easychair.org/cfp/S3-2025] Full Paper Length: Up to 12 pages (including references, APA style) Double-Blind Peer Review: All papers will undergo rigorous peer review before publication. Conference Proceedings: All accepted papers will be published by Springer and indexed.
Acceptance of papers is based on the full paper (up to 12 pages in length, including references). All papers will be peer-reviewed and published by Springer.
For initial submission, please submit only a PDF without author details.
For final submission, please submit both PDF and DOC versions.
Our conference will use APA style for references and papers will be limited to 12 pages.
Proceedings from 2024
The proceedings from 2024 will be published in May 2025. You can find past editions here: https://link.springer.com/conference/smsesu
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