Production-ready Machine Learning

Machine learning powered products are no longer a utopian vision of the future: they are our new reality. In many fields, machine learning is becoming a key enabling technology to achieve unrivalled performances and to provide extra value to customers. However, successful integration of machine learning models into a complex software architecture poses several challenges to the development workflow and software lifecycle.

In this presentation, Thomas Arvanitidis will talk about how to structure research and development workflows for machine learning, in order to develop production-ready algorithms that can be easily integrated into complex software architecture, on edge devices.

The event itinerary is as follows

18:30 - 19:00 : Talk
19:00 - 19:15 : Q&A
19:15 - 20:00 : Networ​king