Infor partnering with Oxford and Carnegie Mellon on machine learning

Infor has signed a new research partnership with the University of Oxford and extended its partnership with Carnegie Mellon University, both to study machine learning. Infor awarded an unrestricted research gift of $100,000 USD to support on-going work on in-database machine learning to the Factorised Databases (FDB) Project of the Computer Science Department at Oxford in the UK. Professor Dan Olteanu leads the FDB Project. "Our goal is to build a scalable system for training machine learning models over relational databases. Our approach comes with both theoretical and practical benefits. It enjoys lower computational complexity than the existing approaches, which means, in practice, training over larger datasets and orders-of-magnitude faster than state-of-the-art analytics systems."