Machine Learning Automation (EN)

Machine Learning Automation (EN)

15:15 - 15:45 | festival.stage | Machine Learning

“Machine Learning through the eyes of a system automation enthusiast”

In this presentation we’ll look at the current state of automation of Machine Learning. Algorithms (even extremely sophisticated ones that can develop themselves) ultimately make up only a small part of each Machine Learning system. Successfully setting up such a system requires a huge architectural and engineering effort. We’ll look at what make Machine Learning inherently difficult to automate and then explore recent developments that have made it much easier to do so. Some key talking points will include: designing modular workflows; supporting those workflows with a microservices approach; and prototyping at scale.

Karl Schriek, Head of AI / Leading Machine Learning Engineer, Alexander Thamm GmbH