The first Databooster Project Day will take place on December 13, 2022 at Oracle, Circle, Zurich Airport with companies such as Adcubum, AWK, Cropled, Crowdcoach, Kistler, Lift AG, Soleil Health, SSM AG, SwissRe, SwissTopo, Syntheticus, Thinkgate, URMA and Vivent. Hear about the innovation ideas we have supported so far and get inspired to innovate with us. Start-ups, SMEs and large companies pitching their ideas use innovation to grow their business, to stay ahead of the competition and take advantage of new technologies.
Natural Language Processing (NLP) offers fundamental solutions for tasks such as text classification, automated chatbots, text summarization or speech recognition. How can the Insurance industry benefit from these AI technologies? This is the core question for the upcoming Expert Group Meeting “NLP in Insurance”, which will take place on Montag 31.10.2022 at 16:30 at ZHAW Lagerstrasse, Zurich.
Felix Müller, Senior Data Scientist at Mobiliar, will share insights into their usage of NLP for different applications (e.g. using transformers for claim handling). This will be followed be an open discussion among all participants (experts and users from academia and industry) and a nice apero.
The meeting is jointly organized by the NLP Expert Group, the Expert Group AI in Finance and Insurance, and the Swiss Association for Natural Language Processing (SwissNLP).
Das Thema des 4. Digital Health Lab Days der ZHAW lautete: «Smart Healthcare & Digital Innovation». Über 200 Teilnehmer und Aussteller sind an diesem Montag in das historische Sulzerareal nach Winterthur gereist. Im Epizentrum des Maschinenbaus des letzten Jahrhunderts drehte sich heute für einmal alles um die Gesundheit und damit verbunden vor allem um Daten und Digitalisierung. Spannende Keynotes, 9 inspirierende Startup Pitches, 7 Smart Healthcare Workshops kombiniert mit Podiumsdiskussion und einer Posterausstellung – das Programm war vielseitig und spannend. Gerade im Digital Health Bereich stösst das Angebot des NTN Innovation Booster – Databooster auf grosses Interesse. Wir freuen uns auf viele neue Innovationsideen!
Commodity Trading Club in partnership with DNEXT, ExoLabs, and Grammig Advisory has the pleasure to invite you to an exclusive networking event.
David Grammig, Managing Director and Founder of Grammig Advisory, will moderate a panel discussion about “Eyes in the Sky: the Rise of Satellite Data in the Commodities Industry” with Dr. Reik Leiter, CEO & Co-founder of ExoLabs, and Guillaume Goudy, DNEXT – followed by a networking apero.
Grammig Advisory is a boutique consultancy firm that advises and actively supports single family offices and corporate clients alike in establishing, growing and maintaining sustainable networks of private investors.
DNEXT is a highly evolutive commodity market intelligence platform, providing all needed tools and data to enhance our clients market intelligence & risk management. By bringing efficiency to our client’s analytical &research departments, they will save money, focus on your bottom line and find new opportunities.
ExoLabs provides tailored software solutions, data products and scientific know-how based on geospatial and remote sensing data to support the private and public sector in gaining insights and efficiency at reduced costs. Their uniqueness lies in integral and agile data processing from many sources, in particular in the field of near real-time satellite data processing on a global scale.
When selling advanced services, the conceptual and contractual complexities of such contracts are all too often underestimated. Experience shows that this is especially true when selling into traditional B2B markets.
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.
