B2B Data Sharing for Industry 4.0 Machine Learning

Per Runeson, LU & Christian Kowalkowski, LiU

With the emergence of machine learning (ML) techniques into Industry 4.0 applications, increasing volumes of data are required to train ML applications. This project explores novel business models for business-to-business (B2B) data sharing and designs new methods and tools to govern data sharing – supporting data ecosystems. We 1) explore how mutual benefit of pooling data from multiple organizations may be balanced with their business values, and 2) design technical solutions to support versioning, encryption, differential privacy, licensing, maintaining and collaborating around shared data sets.

Project number: C09