Embracing Machine Learning to maximise Supply Chain and manufacturing margins
Date & Time
Tuesday, November 17, 2020, 2:40 PM - 3:10 PM
Dr. Michael Feindt Gabriel Werner

Today software, data, information, communication and automation through Machine Learning (ML) and Artificial Intelligence (AI) are at the core of today‘s most valuable companies. As humans  we still need physical goods that have to be manufactured, distributed and sold in real physical supply chains. In this session we explain how these two worlds can be brought together to combine speed, power and agility of data, software and ML with the professional experience and real-life operation of physical supply chains.

In leading operations, many mass decisions are already automated on a super-human level. Such scalable and industrialized ML applications deliver large value and competitive advantage, especially in these times of increasing speed and uncertainty.

The recipe is to optimize and automate standard processes to give agility and let humans concentrate on strategic steering and exception handling, with ML supporting them with as much foresight as possible: PREDICT AND PIVOT instead of  READ AND REACT.

In this session Michael will show concrete examples of existing and future applications of this principle in Manufacturing and beyond. 

Session Type
Virtual Session Link
Session Content Type