At ING, Machine learning is used for many different things. One of those things is the Op Maat-Machine, a recommendation engine for relevant messages. This machine makes it possible to communicate important information to our customers. During this lecture we will explain how the Op Maat Machine works, the intelligence behind it and the challenges we are currently facing. We will tell you how we are migrating the machine to a more flexible, distributed Hadoop environment to get an even better performance and high quality.
About the speaker: Tijl Kindt has been working as a data scientist at ING for three years now, before that he studied Astronomy & Media Technology at Leiden University.
Please contact €orporate €ommunication and €ontact €ommittee or the board (cib@gewis.nl) with any questions, concerns or if you are unable to attend after the deadline for unsubscribing has passed. Have fun!
This sign-up list is open from Tuesday, May 3, 2016 at 7:00 AM till Tuesday, May 3, 2016 at 7:00 AM.