Data Science has recently attracted the attention of academia and industry, particularly in the rapidly changing areas of big data and AI. This makes it very difficult for companies to stay up-to-date and choose the right time to embrace new technologies, i.e. the modern data stack. Unlike universities, which usually experiment with the latest features, companies are often more conservative because of their existing software landscape.
Kurt Stockinger, ZHAW Zurich University of Applied Sciences, Kurt.Stockinger@zhaw.ch
Luca Furrer, Trivadis, Luca.Furrer@trivadis.com
The goal of this working group is to provide a technology radar and expertise for software at the intersection of Big Data and AI, with a focus on end-to-end enterprise architecture. The topics include but are not limited to: