Festo is looking to implement artificial intelligence systems to make automation even more productive and efficient.
The company says it currently offers intelligent component and process monitoring. But Festo intends to further increase the productivity of its customers by means of self-learning machines.
The company is relying here on AI at three network levels:
- on edge;
- on premises; and
- in the cloud.
In addition to the complex services that can be offered in a cloud, Festo sees great potential in simple real-time data analysis by means of AI – either directly on the field component (AI on edge) or in the control of either the system or a production plant (AI on premises).[Read more…] about Festo looks to AI to make automation more profitable