The next Expert Meeting will take place on October 24th. We are excited to have talks presented by the following Agenda:
15:00 Welcome and Intro
Philipp Kuntschik & Sarah Seyr, Co-Leads of the Expert Group
15:15 Featured presentation
Nicole Königstein, Chief AI Officer: GenAI Prompt to Product Showdown: How to Use LangGraph and LLMs to Support Product Research. Look forward to a hands-on session! Find Nicole’s Profile here https://www.linkedin.com/in/nicole-koenigstein/
16:00 Joint Workshop: How to leverage AI in your project governance and user-friendly 17:30 Closing and Apero
Join us at Pädagogische Hochschule Zürich (PHZH, Lagerstrasse 5, 8090 Zürich), close to the Zurich Main Station on October 24th at 15:00.
Use the following Google Forms link to register until October 18th:
Join us for an insightful webinar where we explore how to transform a company’s documents into structured data, paving the way for advanced Generative AI applications.
As member of Data Innovation Alliance in this educational webinar we will guide you through the process of converting diverse document formats into usable data. You’ll learn about advanced data extraction techniques, ensuring data accuracy and traceability, and see real-world applications in Retrieval Augmented Generation (RAG). Ideal for professionals aiming to leverage AI for augmented reading, chat, analytics, and automation.
Key Takeaways:
Understanding document complexity and data extraction
Techniques for ensuring data accuracy
Practical RAG application insights
Agenda:
5 min – Welcome and Introduction
15 min – Key Challenges and learnings of extracting data from unstructured sources
15 min – Practical use cases in augmented reading, RAG
10 min – Q&A
The webinar will be recorded for on-demand watching.
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.
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 local universities and the Zurich University of Applied Sciences (ZHAW).
Registration is open from the first of March. Early Bird Tickets are available until the fifth of May.
Swisstext is organised jointly by the University of Applied Sciences of the Grisons (FHGR) and the Zurich University of Applied Sciences (ZHAW) with the support of the Swiss Innovation Agency (Innosuisse) and several industrial sponsors.
General Chair: Prof. Corsin Capol (FHGR), Prof. Dr. Mark Cieliebak (ZHAW) Program Chair: Prof. Dr. habil. Albert Weichselbraun (FHGR) Scientific Track Chair: Dr. Claudiu Musat (Google) Workshop Chair: Dr. Elisabeth Maier (Karakun AG) Conference Happiness Manager: Lucas Zimmermann (FHGR) Organizational Memory: Manuela Hürlimann (ZHAW)
Gerrit Schatte Lead Projects / Biz Dev Innovation Lab
We are excited to showcase how Kistler applies digitalization for efficiency gains, securing customer satisfaction and opening new market opportunities. We will explore the role of service operations for Kistler as an equipment manufacturer, the use of process mining for increasing process efficiency as well as the role Kistler’s Innovation Lab for implementing solutions addressing new markets. The event will be rounded off with a factory tour and a chance to network during an apéro.
Making sure that AI applications are trustworthy and ethically aligned is becoming a major issue for all developers of AI, and for all companies using AI. The European Artificial Intelligence Act (AI Act) has been endorsed by the European Parliament in December 2023, and will be put into place in the very near future – this will fuel the need for actually guaranteeing that AI is consistent with legal requirements on trustworthiness.
But: the way from legal requirements to testable properties of a concrete implementation is long. How to keep track of the relevant legal requirements? How to operationalize them into technical requirements? How to guarantee that a specific application is consistent with all requirements, over the whole lifecycle of the application?
This lunch event will explore these questions with an input presentation and a following discussion/exchange.
Elena Maran, Global Head Financial Services & RAI, Modulos AG, Zurich
Elena Maran is a former financial services executive with more than 13 years experience in the industry in different roles spanning from sales and trading to corporate banking. She is now Global Head Financial Services and Responsible AI at Modulos AG, defining the strategy, capturing requirements and driving growth in the sector. She is helping financial institutions embracing responsible AI governance and align with global and sector relevant AI regulations.
Join the discussion on a hot topic in Responsible AI and register here. The link to the webinar will be sent to you with the booking confirmation.
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.
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.
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