The functionality of sensors and other IoT technologies have significantly improved and costs have dropped dramatically. Widely available infrastructure has made it possible to access powerful services that were available to few organizations just a short time ago. Consequently, we see the deployment of IoT applications, services, and processes in all settings. These include aspects of our daily life, the services provided in the public sector, and the management of processes in an industrial and commercial setting. In these developments, the use and exploitation of “Data” plays a central role.
At the heart of value and benefits of IoT is the analysis and exploitation of data in decision-making, and in the execution, of subsequent actions. The creation of “Data” in digital form and the fusion of “Data” from disparate sources enables fact-based analysis that is capable of dealing with the essential complexities of products, services, and processes. The typical use of “Data” can be characterized by three attributes: Volume, Velocity, and Variability. Each of these creates unique challenges that affect the feasibility and scalability of IoT solutions. While we benefit from digitalization, there are also many challenges that we must face in achieving acceptance in deployment and proliferation of practical IoT solutions.
In this track we will focus on the requirements for “Data” in typical applications, actual experiences with “Data” use in IoT deployments, and the opportunities and challenges that come from the collection of “Data” from IoT devices and other relevant sources. Topics we will address include but are not limited to:
- Data-driven business models (pay-per-use, etc.)
- From raw data to meaningful information, including AI and ML methodologies
- Advances in predictive and prescriptive analytics based on IoT data
- Edge and Cloud IoT data processing
- Data quality and data trustworthiness (Provenance)
- Lifecycle curation of Data
- Legal and regulatory aspects, e.g. “who owns the data?”
- IoT-related challenges in data privacy and security
Thomas Hermsdorfer, SET Technologies
Thomas is a former congressman with high experience in committees dealing with research and development and higher education. He is an International networker and specialist in collaboration with science and industry, acting as successful entrepreneur in technology transfer.
Thomas is the founder and owner of SET Technology GmbH in Chemnitz, DE and CEO of its entities. He is also the founder and CEO of SET Asset Management GmbH, Smart City Management GmbH and founder and initiator of several startup companies (f.e. Glyxera, Hammond Germany, ZAF Germany. Thomas is also a board member of three German companies.
Uwe Kubach, SAP SE
Dr. Uwe Kubach works as Vice President Digital Supply Chain (DSC) Enablement in SAP’s Products and Innovation board area. In this role he is responsible for explaining SAP’s DSC strategy to customers, partners, associations, and analysts as well as understanding their requirements and playing them back into SAP’s product management organizations.
In former roles at SAP he has been responsible for the global development of the IoT extensions within SAP’s technology platform and the launch of the SAP Research Center in Dresden, Germany, which he grew to one of the largest research centers within SAP.
He regularly acts as an industrial consultant to organizations like the European Commission, Fraunhofer Gesellschaft, and Industrie 4.0 Platform. He earned a doctorate title in computer science from the University of Stuttgart and an MBA from the Mannheim Business School and ESSEC Paris. He has been granted honorary professor from the University of Dresden.