Combining techniques of technology foresight, storytelling, and sharing of lived experiences, Apéro Digital facilitates the co-creation of reflexive environments to support the understanding of societal transformations around digitalisation. Each event will result in a tangible artefact that is co-produced by participants. These outputs may be technical, argumentative, artistic, or analytical, all with the aim of adding values to the collective reflections about, and strategic navigation around, societal challenges posed by the ongoing digital transformation.
Seid dabei und gestaltet mit uns – Fünf Jahre Zukunft mit ZHAW digital
Die strategische Initiative ZHAW digital besteht seit 5 Jahren, und sie läuft noch weitere 5 Jahre. Zur Halbzeit möchten wir in diesem Event gemeinsam zurückblicken und einen Blick in die Zukunft werfen. Am 29. Mai 2024 ab 13 Uhr in Winterthur erwartet euch ein buntes Programm mit einer Ausstellung, kostenlosen Workshops für Jugendliche und Fachpersonen und ein internes Abendprogramm.
Wann: 29.05.2024 (ab 13 Uhr Ausstellung, ab 13:30 Uhr Workshops für Jugendliche und Fachpersonen; ab 17:30 Uhr interner Abendevent)
Wo: ZHAW Gesundheit (Haus Adeline Favre in Winterthur)
The 2024 Smart Services Summit invites academics, industry experts, and practitioners to explore the transformative impact of digital technologies and artificial intelligence on value co-creation within service ecosystems. This year’s theme emphasizes the critical intersections between technology and collaborative value-creation processes, highlighting how these elements reshape business models, customer experiences, and service management.
Topics of Interest:
Digital Facilitation of Value Co-creation: How digital tools and platforms enhance value co-creation between providers and consumers.
AI-driven Innovations in Service Design: Exploring AI’s role in developing new service offerings and enhancing interaction between actors
Automating Customer Engagement: The impact of automation and AI on customer engagement strategies and outcomes.
Data Analytics in Value Perception: Using analytics to understand and enhance how different beneficiaries perceive and measure value.
Data Analytics for Sustainable Value Co-creation: Reconciling business and societal value co-creation with data and analyses.
Balancing value creation between individuals and organizations: Value for business organizations as an enabler or counterpart to value for individuals inside or outside (e.g. customers)
Integrating AI with Service-Dominant Logic: Application of service-dominant logic in AI-driven service environments to foster collaborative value creation.
Ethical Considerations in AI-enabled Services: This section addresses the ethical implications of using AI in service delivery, particularly regarding privacy, transparency, and equity.
Case Studies on AI and Value Co-creation: Real-world examples of successful AI applications that have led to innovative co-creation practices.
Value from regulations: New EU regulations on data ownership in B2B and B2C markets offer the opportunity to improve data governance and lead to value co-creation.
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.
Smart Services Industry 4.0 Product-Service Systems Value Co-creation Service Quality Service Science Service Design
Submission procedure
i. Write a short abstract: https://easychair.org/conferences/?conf=3s2024 ii. Short abstract submission: 1 July 2024 iii. Notification of acceptance: 14 July 2024 iv. Full paper submission: 14 September 2024 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.
Templates
There is no template for the abstract. Word template for the papers: https://bit.ly/4aV5hRd 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 2023
The proceedings from 2023 will be published in June 2024.
Join us for an inspiring event where industry leaders and decision-makers come together to delve into the world of AI-driven Decision Intelligence.
In a rapidly evolving landscape, where every decision counts, harnessing the power of algorithmic decisions is crucial for shaping operations that not only drive efficiency but also foster sustainability.
This event is a collaborative effort led by ZHAW and sponsored by KPMG, Ateleris and Gurobi. Renowned companies will share their expertise and experiences on how organizations can harness the power of optimization to drive innovation and achieve remarkable outcomes.
Why Attend?
Insightful Sessions: Engage with industry experts and thought leaders as they unveil the latest advancements in AI-driven decision intelligence, providing actionable insights for your organization’s success. Networking Opportunities: Connect with like-minded professionals, fostering collaborations, and exchanging ideas to drive innovation and growth in your field. Practical Applications: Learn how leading organizations are harnessing AI to optimize operations, streamline processes, and achieve sustainability goals, with real-world case studies and success stories. Interactive Panel Discussion: hear about specific projects to gain practical skills and strategies for implementing AI-driven decision intelligence effectively within your organization.
Find more information and the registration on the official website:
In unserer zunehmend vernetzten Welt steigen die Cyber-Bedrohungen. Mit fortschrittlichen Technologien wachsen nicht nur die Geschäftsmöglichkeiten, sondern auch die Risiken wie Datendiebstahl und Cyberangriffe. Besuchen Sie unser Event, tauschen Sie sich aus, lernen Sie von führenden Experten und entwickeln Sie mit uns Strategien für eine sicherere digitale Zukunft. Neben spannenden Vorträgen zu Themen wie Herausforderungen an Hochschulen, digitaler Resilienz und der Evolution der Passwortsicherheit, bieten wir auch einen interaktiven Workshop an. Hier können Sie praxisnahe Lösungen erarbeiten und direkt anwenden. Freuen Sie sich auf tiefe Einblicke und praktische Erkenntnisse in der Cyber Security für die moderne Industrie 4.0. Wir freuen uns auf Ihre Teilnahme und Ihren Beitrag zu einem sichereren digitalen Morgen!
Weitere Informationen und die Registrierung finden Sie auf der offiziellen Homepage.
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.
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 Cando
Online, Participants get an access link after registration. 25. April 2024, 11.45h – 12.15h
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.
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.
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
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
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