Usability Testing for evaluating a product or service by testing it with representative users This Workshop on User Experience brings together researchers and service leaders to share knowledge and support projects with data science tools. The goal of the Workshop is to share knowledge on user experience principle, tools and applications. You will get an overview of the European consortium domOS project – A building local communication network provides access to sensors data and smart devices / appliances to applications either hosted in the gateway or in the cloud.
Wenn es um die Digitalisierung der Produktion geht, ist die Einbindung von Altsystemen eine Herausforderung. Diesen fehlen oftmals zwei wichtige Voraussetzungen: die Sensorik zur Erfassung von Daten und die Datenschnittstellen zu deren Weiterleitung. Ohne diese Fähigkeiten aber sind die Optimierung von Planung und Umrüstzeiten, die Steigerung von Performance und Verfügbarkeit, die Verbesserung von Qualitäts-Tracking und -Tracing sowie die Umsetzung von Predictive Maintenance nicht möglich. Beim Digitalen Retrofit geht es also darum, Altsysteme mit Sensor- und Steuerungstechnik zu bestücken – und das im laufenden Betrieb, ohne Break oder Downtime. Hinzu kommt, dass es sich oftmals um spezielle Einzelfälle handelt – ‚One size fits all‘ ist bei Retrofit praktisch ausgeschlossen. Die sensorisch-kommunikative Nachrüstung erfordert also jeweils eine anwendungsbezogene Bestandsaufnahme und Machbarkeitsanalyse. Die möglichen Anwendungsszenarien für digitalen Retrofit sind dabei breit gefächert.
Die Experten LeanBI, SICK, Brütsch & Rüegger und GradeSens werden mit Ihnen die positiven Effekte von Retrofit am Seminar «Digitaler Retrofit» thematisieren.
The annual conference on Artificial Intelligence in Industry and Finance hosted by ZHAW School of Engineering focuses on applications of AI methods and ideas in real-world contexts with industrial or financial backgrounds, and in addition discusses ethical questions arising from such issues. The conference brings together academics, young researchers, students and industrial practitioners from various backgrounds. With a keynote speaker from Google and session speakers from companies such as IKEA, Nvidia, Mobiliar, as well as from universities in Germany, Italy, and Switzerland, we have an exciting mixture of contributions.
Find more information and the registration on the official homepage link.
With more than double the attendees compared to last year’s conference, the SDS2022 was a great success with 580 participants. An exciting start, expert talks on topics particularly pertinent in data science, and a buzzing apero made the day turn into evening – since the easing of the pandemic, people are eager to interact more extensively, and we are proud to be a platform to enable this. A special thanks to our presenting partner D ONE and our scientific partner, the Datalab of the Zurich University of Applied Science!
Part one, with the workshops on June 22nd, took place in various location hubs around central Switzerland, mainly in Zurich, with great feedback garnered.
On the next day, part two in Lucerne featured talks on topics such as developing, deploying and operating machine learning-based systems (MLOps), Cybersecurity, AI for Humanity, and Data Ethics and Fairness.
With what kind of consequential topics did speakers engage the participants? Technological innovation can no longer work on greater-than-human efficiency alone. This means that data-driven approaches cannot neglect responsible AI which has been trained on societal factors such as ethics, fairness and privacy. Industries like insurance and security are tackling this delicate topic with data ethics experts.
Speaking of security, with tech becoming smarter, so is the hacking potential and so-called data poisoning, where training data gets infiltrated, tampered with and corrupted, leading to false outcomes or even harmful consequences. Yet most media have remained surprisingly quiet on this topic; so experts and industry leaders – stay vigilant and plan countermeasures from the beginning when deploying models!
Roberto presented Sophy, the AI racing agent from Sony, developed through reinforcement learning. What makes Sophy so noteworthy is its balance of cooperation – following racing rules and etiquette – whilst pushing difficult, winning maneuvers, influenced humans to also use higher risk steering. This paves the way for a new generation of AI in complex physical systems.
Francesca’s talk regarding covid, climate and human health was particularly timely. She masterfully demonstrated the ways in which data can be used to advocate, shape and defend climate policy by presenting evidence of climate risks.
Participants voted for their favorite poster video and presentation in the app. The winners received a certificate at the award ceremony.
The unmissable SDS apero was a welcome and fun chapter in the conference. After three years of mostly zoom meetings, people didn’t want to leave until late! With such a stunning view at lake Lucerne, who could blame them?
Enough from us – here is what some of our attendees said about their experience (opens in a new window):
And that’s just a fraction of the presentations and experiences. Curious for more? Next year’s SDS2023 will be in Zurich on June 23rd, and with an even greater on-site emphasis. For a feel of the event, look out for our flashback video soon.
Thank you to the sponsors that made this event possible, to the speakers that breathed life into the conference, and the attendees who participated actively, intelligently and insightfully.
Follow us on LinkedIn and Twitter to get sneak-peaks, deadlines and sign-up notices. See you in 2023 – Together we move faster!
Often the biggest challenge in realizing applied RL projects lies in identifying the right use cases. Join us and discover exciting new RL use cases for your organization! This workshop is jointly organized with Databooster, an Innosuisse powered Innovation Booster program. No prior experience with RL is required.
Agenda 17:30 Akim Borbuev: Examples of RL use cases in Energy Management 17:45 Claus Horn: Identifying RL use cases 17:50 Workshop: “Develop your own RL use case”, moderated by Jürg Meierhofer 18:30 Snacks & drinks
Talks
“Make Your Building Smart & Green through Deep Reinforcement Learning” by Akim Borbuev
Akim Borbuev is a reinforcement learning engineer at BicTop, a consulting company, with locations in Boston, United States and Madrid, Spain, that specializes in AI, Machine Learning, Blockchain, ESG impact assessment, and System Dynamics. He received his MSc and PhD in Electrical Engineering from New York University (NYU) where he also worked as an adjunct professor before joining BicTop. His current research interests include the real-world applications of reinforcement learning, especially in finance and energy systems.
Organizers Claus Horn (ZHAW), Mark Rowan (Rowan Cognitive), Georg Russ (die Mobiliar)
Location SIT Academy, Heinrichstrasse 200, 8005 Zürich
Am 02. Juni 2022 laden wir Sie sehr herzlich zu unserer Online-Session „smart maintenance insights“ ein.
In Zusammenarbeit mit data innovation alliance veranstaltet Easyfairs zum ersten Mal die smart maintenance insights kostenfrei per MS Teams.
Rund um die Fokusthemen Predictive Maintenance und Predictive Quality erwarten Sie am Donnerstag, den 02. Juni 2022, zwei hochwertige Referate, welche die Wissenschaft und die Praxis zusammenbringen.
Melden Sie sich an unter maintenance-schweiz.ch mit dem Registrierungscode 250. Wir freuen uns auf Ihre Anmeldung!
Zielpublikum: Proessionals aus den Bereichen Sales & Marketing
Der Einsatz von Künstlicher Intelligenz (KI) hat in den letzten Jahren global sowie auch in der Schweiz ein starkes Wachstum erlebt und ist zu einem der grössten Treiber der Digitalisierung geworden. Ein Grossteil der Schweizer Firmen planen kurzfristig den Einsatz von KI oder nutzen sie bereits. Welche Bereiche von KI gibt es? Welche Probleme können damit im Bereich Sales & Marketing (S&M) gelöst werden? Durch verschiedene interaktive Tasks führen wir die beiden Bereiche KI und S&M zusammen, finden heraus welche Probleme mit KI gelöst werden können und welche nicht, und erhalten einen vertieften Einblick über Anwendungen von KI in den Bereichen.
It is our pleasure to invite you to an upcoming event organised by the data innovation alliance and SwissNLP, the Swiss Association for Natural Language Processing (https://swissnlp.org/) on Tuesday, May 3rd at Nüü (Lagerstrasse 45, 8004 Zurich, ground floor).
We will combine an NLP Expert Group Meeting on Multimodal AI with the SwissNLP General Assembly 2022, followed by an apéro and socialising/networking.
16:00 – 17:00: SwissNLP General Assembly 2022
Annual and Financial Report 2021
Budget & activities for 2022
Board elections for 2022
Discussions & Varia
17:15 – 18:30: Expert Group Meeting on Multimodal AI An exciting new research direction, Multimodal Artificial Intelligence concerns the creation of AI models which can jointly process different types of inputs such as images, text, audio, video, or structured (tabular or graph) data. This opens up possibilities for applications which can interact with the world in new ways and address much more complex use cases.
A recent example is MUM [1], Google’s “Multitask Unified Model”, which can answer multimodal search queries such as “Are these hiking boots [see picture] suitable to hike Mount Fuji?”
In the meeting, we plan for 1-2 short presentations (10min each), followed by an open discussion of the topic. One potential (and intended) outcome is ideas for joint projects!
Looking for Speakers: If you would like to share your experience in Multimodal AI with the group, please let us know. The presentation may include a success story, a collection of best practices, an open problem, or even an outline of a project that would benefit from Multimodal AI. It would be great to discuss positive experiences, as well as blockers and limitations. If you would like to present, please send us your presentation titles (email to ciel@zhaw.ch, natalia.korchagina@pwc.ch). Deadline is Monday, April 25.
From 18:30: Apéro & socialising/networking Join us to exchange & mingle over drinks & snacks!
It would be great to see many of you in person, but online participation is also possible for both events.
Please register using the link from the invitation mail. Deadline for registration: Wednesday, April 27.
As the adoption of Smart Services continues to accelerate, we see an opportunity to apply the emerging technology to provide new value propositions and business models that provide tangible sustainability outcomes that help us and the planet. In 2021 we held the Smart Service Summit “in person” at a fantastic location overlooking the lake of Zurich. The focus was on the impact of COVID-19, and in hindsight, we were between two outbreaks. This year we would like to leave COVID-19 behind us and look to build a brighter future. We are this year going to focus on sustainability as we think it is time to give equal weight to the social, economic, and environmental aspects of sustainability.
The summit in 2022 aims to assess new and emerging services that are enabled by technology and where the services are co-delivered to support sustainability. In doing so, we hope to answer some of these questions:
how is the service quality and value impacted through digital technologies?
how can you transform the customer (or a third party) into a service partner?
how does collaborative working impact value co-creation?
what is the impact of smart services on customer experience?
how does the nature of the service delivery change?
how can organizations be enabled to foster digital value co-creation?
All of the papers should consider one or more of the three pillars of sustainability (i.e., social, economic, and environmental). This is important as this consideration will allow us to build a sustainable future.
As with previous years, we are looking for early-stage research and will again publish the proceedings with Springer. Furthermore, we will use industry to set the scene and the context from their position and follow them with impactful academic presentations. We anticipate that we will have a physical summit in Zürich!
All papers will undergo a blind peer-review process. The articles will be published again with Springer. Accepted papers will be presented in person in Zurich.
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