Der Databooster organisiert gemeinsam mit vier Firmen einen 2.5-tägigen Workshop zum Thema “Wie können Unternehmen mit ihren Partnern und Kunden mit neuen und bestehenden Services resilienter und gleichzeitig nachhaltiger werden?”
Es ist deutlich geworden, dass Business Ökosysteme widerstandsfähiger werden müssen. Durch Smart Service Systeme können vorhandene Ressourcen neu ausgerichtet und verwendet werden. Dies ermöglicht Unternehmen, robuster gegenüber Störungen zu werden oder sich nach solchen rascher wieder zu erholen.
Herzlichen Dank an das Mobiliarforum Thun für die Mithilfe bei der Organisation.
How do I use AI and data management to add value to my company? Join Business Focus Day in Aarau on Thursday, 28.09 at 13.00. Big Data, Industry 4.0, ethics, and more, with the databooster innovation workshop, the cherry on top! Find all information on the official page!
Registration is required but participation is free for everyone.
The 11th edition of the IEEE Swiss Conference on Data Science will be in Zurich. Mark the date in your calendars! More information: https://sds2024.ch/
Abschätzung des Sterblichkeitsrisikos durch Smartphone -Daten? Die Zerstörung von gefährdeten Lebensräume durch geo-tagged Social Media – Kommunikation? Diskriminierung aufgrund räumlicher Autokorrelationen?
In diesem Webinar geht es um das aktuelle Thema der ethisch-moralischen Herausforderungen bei der Erhebung, Verarbeitung und Anwendung/Interpretation von räumlichen Daten. Dabei werden nicht nur Fragestellungen um Data Privacy thematisiert, sondern auch die Schwierigkeiten rund um Qualität und Bias in den Daten an sich und den daraus resultierenden Limitationen in der Entwicklung und Anwendung von Algorithmen, insbesondere im Bereich von Machine Learning-Methoden. Dabei steht vor allem die Verknüpfung verschiedener Datenquellen und der daraus resultierenden Zusammenhänge im Fokus. Es werden sowohl Einblicke aus der aktuellen Forschung zur Ethikdebatte als auch in spezifische Anwendungs- und Umsetzungsbeispiele aus der Industrie vorgestellt.
Finden Sie alle Informationen auch auf der offiziellen Webseite (Link)!
Organisation: Christoph Heitz (ZHAW), Karin Lange (dieMobiliar), tbd (CLAIRE), Stefan Keller (OST), Reik Leiterer (data innovation alliance)
We would like to cordially invite you to our 8th European COST Conference on Artificial Intelligence in Finance – Sept 29, 2023, online and at Bern Business School.
This year, the event will be joint with our Annual Meeting for the COST Action on Fintech and Artificial Intelligence in Finance as well as the European Marie Sklodowska-Curie Action Industrial Doctoral Network on Digital Finance. We will welcome participants from more than 20 European countries in Bern.
We would like to invite you to the GEOSummit open innovation workshop on “Open Data Value Creation”, hosted by ERNI in Zurich.
Creating value based on open data is difficult, as topics such as harmonization of data formats, automatic data lineages or the standardization of data linkage processes are technically challenging and also not unproblematic from a regulatory point of view. But even supposedly simpler steps such as contextualized data search and raising awareness of the availability of open data in general have only been implemented to a very limited extent.
In this workshop, we would like to invite stakeholders from research, industry, NGOs and the public sector to work on solutions and to define concrete steps on how to improve value creation through open data. Dr. Jürg Meierhofer (ZHAW) will be our moderator and guarantees a result-oriented, structured approach to the workshop.
As thematic use-case we will focus on the energy sector. This includes, for example, the analysis of consumption data collected by sensors and smart meters – or, more generally, exploiting the potential of energy management systems due to the increasing electrification. Especially with regard to energy savings (e.g. usage-specific lighting scenarios), these so-called IoT recommender systems have the potential to deliver great added value. These areas are not detached from the building shell, which brings us back to the various smart building & construction technologies and of course to the electricity providers (e.g. with regard to dynamic tariffs). in this context, we discuss topics such as data protection, data infrastructure and data management, open platform ideas for data sharing and trading and the smart services that could be built on them.
Free participation, but registration is necessary: Link
Wir möchten Sie zum GEOSummit Open Innovation Workshop “Open Data Value Creation” einladen, der von ERNI in Zürich veranstaltet wird.
Die Wertschöpfung auf der Basis offener Daten ist schwierig, denn Themen wie die Harmonisierung von Datenformaten, automatische Datenabgleiche oder die Standardisierung von Datenverknüpfungsprozessen sind technisch anspruchsvoll und auch aus regulatorischer Sicht nicht unproblematisch. Aber auch vermeintlich einfachere Schritte wie die kontextualisierte Datensuche und die Sensibilisierung für die Verfügbarkeit offener Daten im Allgemeinen wurden bisher nur in sehr geringem Umfang umgesetzt.
In diesem Workshop möchten wir Akteure aus Forschung, Industrie, Nichtregierungsorganisationen und dem öffentlichen Sektor einladen, an Lösungen zu arbeiten und konkrete Schritte zu definieren, wie die Wertschöpfung durch offene Daten verbessert werden kann. Dr. Jürg Meierhofer (ZHAW) ist unser Moderator und garantiert einen ergebnisorientierten, strukturierten Ansatz für den Workshop.
Als ein mögliches Anwendungsgebiet steht hierbei der Energiesektor im Fokus. Dazu gehört z.B. die Analyse von Verbrauchsdaten, die durch Sensoren und Smart Meter gesammelt werden – oder ganz allgemein die Nutzung des Potenzials von Energiemanagementsystemen aufgrund der zunehmenden Elektrifizierung. Gerade im Hinblick auf Energieeinsparungen (z.B. nutzungsspezifische Beleuchtungsszenarien) haben diese sogenannten IoT-Recommender-Systeme das Potenzial, einen großen Mehrwert zu liefern. Diese Bereiche sind nicht losgelöst von der Gebäudehülle, womit wir wieder bei den verschiedenen intelligenten Gebäude- und Bautechnologien und natürlich bei den Stromanbietenden Organisationen sind (z. B. im Hinblick auf dynamische Tarife) sind. In diesem Zusammenhang diskutieren wir Themen wie Datenschutz, Dateninfrastruktur und Datenmanagement, Ideen für offene Plattformen zum Datenaustausch und -handel und mögliche, darauf aufbauende “intelligente” Dienste.
In today’s rapidly evolving business landscape, the onboarding process has emerged as a crucial aspect of organizational success. With the advent of remote work and virtual teams, new challenges have arisen, necessitating the development of structured onboarding processes that incorporate digital tools. However, the integration of analog and digital tools to effectively assimilate new hires remains a persistent challenge for organizations.
Effective onboarding of new hires has long been recognized as a critical factor in organizational success. It ensures a smooth transition for new employees and facilitates their assimilation into the organizational culture and workflow. However, with the paradigm shift towards remote work and virtual teams, the traditional onboarding process has encountered new hurdles, necessitating the adoption of novel strategies and digital tools. New work arrangements offer flexibility and access to talent pools beyond geographical boundaries. However, they also present unique challenges in terms of team collaboration, communication, and fostering a sense of belonging. Addressing these challenges requires a reimagining of the onboarding process.
Leveraging digital technologies for employee onboarding creates complexities that differ from traditional in-person onboarding. The absence of physical presence makes it challenging to establish personal connections (commitment and organizational citizenship behaviour) and convey the organizational culture effectively. The challenges posed by the combination of analog and digital tools necessitate innovative strategies. By implementing a structured onboarding process that incorporates digital tools effectively, organizations can foster a sense of connection, enhance employee engagement, and lay the foundation for long-term success in a digital-first era.
A research Team of the BFH aims to develop a toolbox of digital solutions in order to empower SMEs to effectively integrate new hires. Through empirical research and a focus on specific SME needs, this study seeks to enhance the onboarding experience and promote organizational success.
We are inviting companies interested in participating in a shaping workshop to share their knowledge and insights regarding the use of digital tools in the onboarding processes. This workshop will provide an opportunity for participants to discuss the challenges they face and generate initial ideas on how to effectively address these challenges. We encourage companies to join us in this collaborative session to foster knowledge sharing and collectively enhance the onboarding experience.
The workshop will take place on 02.10.2023 from 16.30 – 18.00 at Haslerstrasse 30, 3008 Bern followed by an Apèro.
The language of the workshop will be chosen depending on the number of registered participants (German/English).
Registration is requested by 18.09.2023 to Sabrina.Schell@bfh.ch
Our next Expert Meeting on Monday, 21 August 2023, 17:00-18:30, will focus on various aspects and applications of Large Language Models.
It will take place at the ZHAW premises in Lagerstrasse 45, 8004 Zurich in room ZL O3.01 on the third floor. The meeting will be followed by an apéro. Online participation is also possible.
We will then send you a calendar invitation which includes online participation details.
The following presentations are confirmed for the meeting:
Kim Engels, Converto AG – Large Language Models for Cross-Media Marketing
In this talk, Kim briefly presents some examples of how he and his team at Converto use AI and LLM to improve or speed up their projects.
Besides approaches such as text generation for newsletters, there are also variants such as code generation within the team as well as the use of self-developed solutions to create 3D models for customer campaigns.
Florian Tramér, ETH – Are Aligned Neural Networks Adversarially Aligned?
Large language models are now tuned to align with the goals of their creators, namely to be “helpful and harmless.” These models should respond helpfully to user questions, but refuse to answer requests that could cause harm. However, adversarial users can construct inputs which circumvent attempts at alignment. In this talk, we’ll discuss to what extent these models remain aligned, even when interacting with an adversarial user who constructs worst-case inputs (adversarial examples). We’ll see that existing optimization attacks are insufficiently powerful to reliably attack aligned text models, except when these models are multimodal (i.e., they can process both text and images). In that case, we show these models can be easily attacked, i.e., induced to perform arbitrary un-aligned behavior through adversarial perturbation of the input image.
Alex Paramythis, Contexity AG – Adapting Large Language Models for Customer Request Handling
With the rise of Generative Large Language Models (LLM), companies are looking into the many opportunities proffered by this new technology. One area of particular interest is the automated handling of customer requests (e.g., received through email, chat, social media, etc.) using the institutional knowledge at hand. In such a context, LLMs may need to be trained on, or have access to, privileged, non-public information in the company’s knowledge base. This, in turn, entails that the models need to be prepared within, and served from, a company’s own infrastructure to prevent information leakage — a requirement that points in the direction of commercially friendly open-source models. In this talk we will present our work on generation of responses to customer requests using the IGEL (a BLOOM based model), FLAN-UL2, and Falcon LLMs. For the first two models we will also report on our attempts to fine-tune the models before use, with a variety of training data.
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 the University of Applied Sciences and Arts of Western Switzerland (HES-SO // HE-Arc) as well as the Zurich University of Applied Sciences (ZHAW) and the data innovation alliance.
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