Expert Groups are aimed at the professionals of our Industrial and Academic Members, and can only be visited by them. The goal is to help the participants develop themselves and to foster collaborations between participants. In addition, Expert Groups should create a value for the network as a whole, by feeding back results of general interest, participating in events, and letting the other network members participate at the learnings.
They are focused on a specific area of interest, and bring key players in close and highly engaged contact with each other with respect to this topic. Expert Groups are designed to discuss and handle real use cases.
Especially in the areas of big data and machine learning the software and tools landscape is changing rapidly. The goal of this Expert Group is to provide a technology radar for software and tools and to discuss new trends as well as best practices. Similar to Gartner’s Magic Quadrant, the idea is to become the major reference to Data and Service Science related technology insights.
Every business is closely observing new technologies like Big Data Analytics, AI and Internet of Things as we all can see and understand its rich potentials. With the Blockchain technology a decentralized transaction register Automation: Supply chain processes such as payments, customs clearance, data or document transfers can be automated via smart contracts.
With enhanced connectivity of products and accelerated digitalization of services, the availability of data within firms has grown substantially. Academia and leading domain experts have commented that «Data is the new oil». However, many firms struggle to create new offerings based on available data or generate revenues from existing data-intensive services.
With big data comes big responsibility. Issues such as data protection, workplace surveillance, or the potential consequences of future technologies require constant ethical reflection and stakeholder dialogue. This Expert Group will offer a forum to discuss ethical issues that matter to its members in their respective contexts, enabling them to develop concrete solutions for ethical challenges.
Imagine there is a secure, anonymous and trustable way to integrate data from various systems, exchange the data and extract synergetic value from data among different, even competing organization. As an example the group may investigate where companies could find a balance between the value generated by exchanging data with others , and the associated impact of leaking trade secrets.
The domain of health care has been moving into the digital world relatively late and has started only recently with digitalizing processes and services on a larger scale. The Expert Group on Digital Health will foster interdisciplinary collaborations with the aim to develop advanced data-driven healthcare solutions that help improve prevention, diagnosis, treatment and after-care as well as remote monitoring.
Machine learning is the key enabling technology behind data-intensive services. The state of the art is advancing at high pace and is being thoroughly evaluated on certain established benchmark environments like «MNIST». Its goal is to re-link machine learning with industrial practice to collect best practices and facilitate collaborations among members. Real world use cases are being presented, and applicable methods and best practices are identified, discussed, and tried.
Natural language processing , born over half a century ago at the crossroads of computer science and linguistics, is now an empowering force behind many AI applications. The objective of the Expert Group «NLP in action» is to foster a productive dialogue between the academic and industrial actors of NLP in Switzerland.
There is an unmet need for security and privacy in data analytics and data collaboration between enterprises. This expert group explores industry-proven security and privacy technologies and develops practical use-cases especially for data analysis and data sharing between organisations.
Our network consists of industry experts and researchers from Swiss companies and universities who develop and employ intelligent maintenance systems, machine-learning based maintenance methods and smart services related to the maintenance of assets and infrastructure. We promote the sharing of knowledge and experiences between our members to support them and their projects
Our mission is to discover and apply best practice methodologies for designing data-intensive services that create personal and business value of data for users in their specific context.
We bring these benefits to the members of the Expert Group using different formats such as co-creation in workshops, lunch-seminars, extended conferences and direct bilateral exchanges.
Location is everywhere, literally. Therefore almost every dataset contains geographic information like coordinates, addresses or toponyms. This information enables the data to be embedded in the space we live in. The embedding of multiple datasets facilitates their combination and comparison and allows for more complex spatial analyses.