Three Belgian cases show you the way to AI in your production

Embracing digital technologies (such as AI) in manufacturing, enables manufacturers to meet the ever-changing demands of their customers. How? Get inspired by three concrete use cases from Belgian companies who have implemented AI into their production processes!

We are seeing increased customer demands for fast pivots on design, materials, packaging and production volume in several markets. In some instances, these requirements can put a strain on resources - impacting not only product quality but also profitability. Digital technologies provide the edge that manufacturers need to grow and adapt to these fast-changing demands.

During the webinar 'AI for production - From quality control to process optimization' on 26 February you will be inspired by three use cases from Belgian companies that have implemented AI in their production processes:

Atlas Copco: 'Optimizing Production Planning with AI'

In this session, you will learn how AI can make production planning faster, more efficient and accurate, making life easier for Atlas Copco's employees.

A case study in collaboration with X-RIS: 'Discover how to optimize the quality control on your production lines with AI'

What if AI could help increasing the quality control efficiency at a fraction of the cost while reaching higher defect detection performance ? This talk will explain how to gain trust in AI systems that fully automate quality control, through a project done in collaboration with X-Ris

BekaertDeslee: 'Bringing machine learning (ML) to the shopfloor: the ML supported machine operator'

Difficult products require higher attention from the operators to avoid production of waste. How can the operator’s attention be drawn to the right production order/production line? Based on historical production data we used machine learning to estimate the level of complexity on each production order.

Interested? You will find all details of this webinar on 26 February on the website of Agoria.