AI – Another Digital Twin?
We, at Evonik are strong believers of a data driven digitalization. Basis of our approach is a norm based data model, which is implemented in all our applications along the Asset Lifecycle. Therfore, structured data was and is the basis for any Digital Twin. However many data points are hidden in old documents and these documents can help us to determine accuracy and completeness of such data.
Artifical Intelligence (AI) is today on everybody's mind as the new “holy grale” which will solve all data management issues. Is this really true?
We look at AI as possible solution in two directions: to the past and into the future.
For the past: Can AI solve the challenges of data migration, data quality and consistency? Will AI help us to conserve know-how and make it accessible for the next generation engineers, maintenance and operation personnel?
For the future: How can AI applications generate the biggest value based on existing data?
There are no easy answers - but how to approach these questions? What are the biggest challenges?