Visual Analytics for Large-Scale IoT Data, Johanna Schmidt
Sprache des Titels:
With the digitization of the manufacturing industry, energy supplies, and other domains, enormous amounts of IoT (Internet-of-Things) data are collected. Expectations regarding quality, costs, delivery time, durability, and environmental aspects are rising at a similar speed. Data-driven manufacturing and planning opens up unprecedented opportunities to understand the impact of decisions on engineering performance and customer satisfaction. Visual Analytics plays a very important role in turning data into actionable decisions, which more and more becomes a major part for companies for remaining competitive. Visual Analytics has already proven its usability in analyzing IoT data in various projects, as outlined in this talk. However, there are still some major challenges ahead of us. We are still facing Big Data problems when it comes to providing concise overview over large amounts of data. Further, there are many challenges attached to applying visualization successfully, both from the manufacturing industry and energy sector domains, and also from visualization research perspectives. In this talk I will reflect on our past experiences in applying Visual Analytics in research projects together with industry partners and describe the main challenges we are facing now.