Advances in cloud analytics and AI promise significant OEE improvements. What are the prerequisites for producers to profit from these technologies? The first is accessing the data treasure. Extracting quality data from shopfloor assets of different age, type, and manufacture continues to be tricky. Even more so if a large number of globally distributed, heterogenous plants is involved yet vendor lock-in to be avoided. To yield the benefits of cloud while controlling cost and data ownership, factory operators also need to preprocess their data at the edge and run applications there.

This session will outline an integrated solution approach to these challenges with an emphasis on implementation speed, deployment scale and security.

• What are the key factors in the shopfloor data challenge?
• When do I need to consider the overall scale of my shopfloor digitalization plans?
• How can I control cost and data ownership while leveraging advanced cloud analytics?
• Why can I use industrial IoT to avoid vendor lock-in?