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Tag: Public Event

Databooster zu Gast bei Digital Health – alles dreht sich um Daten!

By Philipp Schmid, CSEM

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!

Expert Day & General Assembly

Immerse in one of four expert groups

  • Spatial Data Analytics
  • Big Data and AI Technologies
  • Blockchain Technology in Interorganisational Collaboration
  • Data-Driven Business Models

and exchange expertise. Get inspired by the keynote and network during the coffee break. For data innovation alliance members the event is followed by the General Assembly and an apero. Let’s foster the community for Applied Data Science in this event.

Agenda

  • 13:15 Welcome
  • 13:15 – 14:45 Expert Groups in 4 Breakout Rooms
  • 14:45 – 15:30 Coffee break
  • 15:30 – 16:00 Keynote – Erika Meins,  La Mobilière «Using the Force of Analytics for Responsible Digital Interactions»
  • 16:00 – 16:15 Break
  • 16:15 – 17:15 General Assembly (formal part)
  • 17:15 Apero

Detailed Program

13:15 – 14:45 Expert Groups (running in parallel):

Expert Group: Spatial Data Analytics – Geospatial insights for all – from unique applications to future trends
The Power of Where – this frequently used statement underscores the importance of spatial data and spatial data analytics. All people interested in spatial data are invited to actively participate and/or get an entertaining insight into the world of geospatial data.  Take the opportunity to make new contacts and exchange ideas with experts from industry and research.
In this open event, we will take a tour of your favourite datasets, look at the most unusual and fun applications, and discuss together trends in geospatial data and future challenges. Of course, current infrastructure topics such as low code platforms (GEE & friends), new machine learning concepts and applications (image segmentation, tiny ML & Co) and data creation/access developments (Open Data & GDPR) will not be missed. Intellectual nourishment is guaranteed.

Expert Group: Big Data and AI Technologies
De-buzz AI, Thierry Bücheler, Oracle
«AI» is discussed as the solution for many problems on almost all levels – from exec boards down to the deepest and darkest hacker hide-outs. But what is it, really?
This short impulse will try to de-buzz AI to a certain extent by using real-world examples across industries, supporting the following theses:
– AI is not really about “intelligence” today
– Only rarely it is about developing algorithms
– And it is also not about bringing together data from different sources technically
So what’s the focus in real-world applications right now? What are some examples where «AI» makes a difference?
Talking to Data: Building Natural Language Interfaces for Databases, Kurt Stockinger, ZHAW
Information systems are the core of modern enterprises and scientific exploration. They are often based on fundamental research developed in the database community. While enterprise data is typically stored in relational databases, data-intensive scientific disciplines such as bioinformatics often store their data in graph databases. To query these databases, end-users need to know the formal query languages SQL or SPARQL as well as the logical structure of the databases. However, even for technology experts it is very challenging to write the right queries to retrieve the desired data. Hence, a large part of the end-users is basically not able to effectively query their databases. In this talk we discuss how to build intelligent information systems that enable end-users to talk to their data similar to humans. The major goal is to combine artificial intelligence with human intelligence for novel ways of data exploration. In particular, we will show how we have built various natural language interfaces for databases using pattern-based and machine learning-based approaches to significantly increase the productivity of scientists and knowledge workers when interacting with data. We demonstrate that our system INODE (Intelligent Open Data Exploration), which we have been building as part of a European Union project with 9 partners across Europe, is uniquely accessible to a wide range of users from large scientific communities to the public. Finally, we elaborate on the lessons learned when developing such a system and discuss how the technology can be enhanced by researchers or knowledge workers for exploring their own databases in natural language.

Expert Group: Blockchain Technology in Interorganisational Collaboration
Zurich has a new blockchain-based local currency: the “LEU”, which has already been discussed in the press.
The LEU is a currency and at the same time also a basic income that one receives by actively participating in the community. Although the LEU is based on blockchain technology, it has little to do with speculative cryptocurrencies: to receive the LEU, you have to meet regularly with members of the community. You can spend the LEU in local businesses in Zurich to promote the local economy.
The association Encointer will present the exciting LEU project and talk about the current developments and possibilities of such an alternative currency.
After a short introduction, we will cover the following topics. 
 – Introduction of Polkadot and Kusama Ecosystem.
 – Parachains and their advantages
 – Proof of personhood and sybill attacks 
 – Encointer vision, protocols and global communities
 – Status quo and field report Leu in Zurich
At the end we have some time to install the Encointer wallet and interact with it.

Expert Group: Data-Driven Business Models
Data-driven business models have become relevant to companies and organizations. According to Gartner back in 2018, 85% of AI use cases were not successful or did not live up to expectations. Where do we stand today? – What is the potential in data driven business models we still haven’t addressed – and why not? 
In this workshop, we will discuss success factors & challenges of AI projects. Among experts and practitioners we will exchange our experiences and share insights. As a take away, we will be equipped with a set of hands-on best practices, ready to be applied in our environments.

15:30 – 16:00 – Keynote Speech
Erika Meins, La Mobilière, Head of Mobiliar Lab for Analytics at ETH Zurich“Using the Force of Analytics for Responsible Digital Interactions”

Virtual Reality to reduce stress, telematics to prevent road accidents or augmented reality to improve collaboration? Erika Meins illustrates some of the opportunities of advanced analytics and new digital technologies for society – and provides a brief look at the dark side.

Swiss AI insights by SAIROP

Imagine you are one of 500,000 people with diabetes mellitus in Switzerland and driving your car. While driving, your blood sugar drops… and you don’t notice it. You don’t even want to start picturing what could happen.

With their “HEADWIND” project a team of researchers from the Inselspital University Hospital Bern, University of Bern, ETH Zurich and the University of St. Gallen aims at decreasing the risk of accidents for people with diabetes. With innovative approaches and supported by artificial intelligence, they try to detect hypoglycaemia in real time using already available vehicle data.

Prof. Dr. med. Christoph Stettler, Director of the University Clinic for Diabetology, Endocrinology, Nutritional Medicine & Metabolism at the Inselspital and Full Professor at the University of Bern, presents the challenges of this endeavour, the results of their research and the main findings of the project in this new event format.

Join us online and enjoy the current state of AI research after lunch presented first-hand by the expert.

Find more information and the registration HERE.

GEOSummit 2022: Webinar Geo Data Science

Werte GEO-Interessierte

Es freut uns, das dritte Webinar im Jahr 2022 ankündigen zu können. 

Das Wichtigste in Kürze:  

  • Thema: GEO DATA SCIENCE 
  • Detailbeschreibung: siehe → Webinare 2022 
  • Datum: 29. November 2022 
  • Zeit: 15.30 – 17.00 Uhr 
  • Form: online (Link wird mit Bestätigungsmail zur Registrierung verschickt) 
  • Organisator: Raphael Rollier und Roxane Pott  

Das Registrierungsportal ist eröffnet, wir freuen uns über Ihre Anmeldung. 

In Erinnerung rufen wir hiermit noch das Webinar OPEN DATA UND CROWD SOURCING vom 21. September 2022 (Detailbeschreibung siehe -> Webinare 2022)

Eyes In The Sky – The Rise of Satellite Data in the Commodities Industry

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.

For more information please check the official website!

Intelligent Maintenance Conference 2022

The Intelligent Maintenance Conference is an international event on new diagnostic and intelligent monitoring methods for industrial systems! Our objectives is to be a place to share fruitful discussions on predictive maintenance between experts from the industry and the academic world. Renowned speakers from varied backgrounds, including railway, automotive and aerospace industry, academics, and others will be present.

It is with great excitement that the conference will come back to a 2-days onsite event.
This year, the IMC conference will take place on the 06 and 07th of September 2022 at EPFL Lausanne instead of ETH Zürich.
It will be organized by the same team as the previous years but named differently as the newly founded Intelligent Maintenance and Operations Systems lab (formerly IMS chair) which is part of the School of Architecture, Civil and Environmental Engineering of EPFL Lausanne.

We aim to stay in the same spirit as in the previous years when the attendence was high and the interest of the community in such events was confirmed.

The program will be updated as speakers confirm their participation.

We look forward to seeing you next september at the conference!

For more information please check the official website.

Service Event: “Lernen, Netzwerken” – Contracts for Advanced Series

Organized by the Smart Services Expert Group

Contracts for Advanced Series

A Playbook to Guide from Concept to Completion

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.

Please register at: https://ch.xing-events.com/digitalization_and_service
You can also find all relevant information in the flyer!

Ethik und Datenwirtschaft – Wie passt das zusammen?

Viele fordern heute von Unternehmen einen ethischen Umgang mit Daten und Algorithmen. Doch was genau bringt Ethik für eine nachhaltige Datenwirtschaft? Wie bringt man Daten-Ethik konkret in die Kultur und Prozesse einer Firma ein?

economiesuisse lädt zusammen mit der Digital Society Initiative (DSI) der Universität Zürich und der data innovation alliance (d+i) ein, diesen Fragen vertiefend nachzugehen. Prominente Vertreterinnen und Vertreter aus Wirtschaft und Wissenschaft erörtern gemeinsam mit den Teilnehmenden anhand konkreter Fallbeispiele aus den Bereichen Human Resources, Marketing und Produktpersonalisierung die Rolle der Ethik für eine nachhaltige Datenwirtschaft.

Für ausführliche Informationen sehen Sie bitte den Flyer!

Knowledge Graph Forum

The Knowledge Graph Forum is a place where companies can present their ongoing work and use cases in the field of knowledge graphs. The aim is to learn and benefit from the experiences and insights gained from their respective projects.

Each company will have 20 minutes to present its use case, followed by a 10-minute discussion. The presentations will focus on practical implementation. Sales presentations by vendors are explicitly not allowed.

The venue will provide an opportunity to network and discuss specific topics that may arise from the presentations. The event includes lunch at the restaurant Markthalle and an apéro at the end of the event. No show, no refund.

The 2022 edition of the Knowledge Graph Forum will take place on September 29, 2022 (Thursday). It will take place in Zurich, Switzerland (Area Viadukt/Industriequartier).

The program is very dense and very interesting. The following companies will present their use case:

  • BWK Energy: KG for consistent Smart Meter Operations.
  • IKEA Systems: Semantic and transparent ETL pipelines.
  • Roche Pharma: Semantic Modeling of Organizational Knowledge as a Basis for Enterprise Data Governance 4.0.
  • CUI: Semantic Regulation Compliance Checking: A real-world scenario involving urban underground data.
  • On topic: Building a Virtual KG from sensor data using Ontop and the PostgreSQL ecosystem.
  • UBS: The role of KGs and the means of implementation in UBS.
  • Derive: KGs and Reasoning – What does it take to manage the complexity of real-world industry problems?
  • Siemens Smart Infrastructure: Enabling Large-Scale Data Integrity Checks for Building Automation and Control Systems.
  • La Mobilière: Know your Data: A Graph-based 360° Enterprise Data Catalog.
  • Swiss Institute of Bioinformatics: UniProt: the largest public KG.
  • Swiss Institute of Bioinformatics: Federation: beyond the home organization.

For more information and the registration please see the eventfrog page.