Machine learning’ s role Murad Kurwa, VP of Advanced Engineering, Flex
EDITOR’ S CHOICE MANUFACTURING ADVANCEMENTS
FLEX
Machine learning’ s role Murad Kurwa, VP of Advanced Engineering, Flex
AI and ML
We have seen the rise of the fourth industrial revolution( Industry 4.0), which has not only introduced significant opportunities for manufacturers but also helped with optimising processes through automation and robotics, reduced costs and streamlined operations. However, it is vital that these advanced technologies are deployed where there is a strong use case and a clear benefit.
AI is taking the world by storm, with almost every industry destined to be impacted in some way. Within manufacturing, AI is already being deployed for certain use cases and will continue to scale in 2025. As AI and machine learning( ML) technologies continue to evolve, it is crucial that organisations identify the right use cases for applying AI as a way to introduce greater efficiencies into existing processes, while also determining challenges
on the factory floor that could be improved.
Autonomous Robots and Human Collaboration
Advanced manufacturing technologies are quickly becoming essential tools for optimising the manufacturing process. An example of this is autonomous robots, which are used to improve the speed and efficiency of routine operations, particularly in warehousing and manufacturing spaces. They work side-by-side with humans for added efficiency and reduce the risk of employee injury in dangerous environments.
6 PECM Issue 74