The modern world produces massive amounts of data that, to a large extent, is unstructured and transient. It comes from a variety of sources and types – as text, video, geospatial data, information captured by a sensor in a plant or a vehicle, or from social interaction via the web. For the last years Findwise has seen the opportunity to apply its own Language Technologies and Content/Data Processing framework within this field. A few examples are Social Media Monitoring to identify inﬂuencers and apply sentiment analysis of various products and services, Predictive Maintenance in the process industry, Pattern Mining in Electronic Health Records to identify relationships between diagnosis, medicine and comobirdity in Health-Care, Dialogue Systems within cars, and many other areas.
“Findwise’s interest and expertise is not limited to structured data, but instead to join structured and unstructured data as well as create structured data – fact-ﬁnding – by mining a big repository of unstructured data”, says Henrik Strindberg, Head of research at Findwise.SICS, the Swedish Institute of Computer Science, is a leading research institute for applied information and communication technology in Sweden funded by the Swedish Government. Big Data Analytics is a research project led by SICS that brings together a broad spectrum of stakeholders from academia, industry and the public sector. Findwise is one of them and the others include Spotify, Ericsson, SKF, KTH Royal Institute of Technology, Chalmers University of Technology and more. The purpose of the project is to create a national research and innovation agenda for the future.