White Paper

Rethinking IT/OT convergence: the future of data-driven, intelligent industrial shopfloor operations

 

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You can learn from this White Paper:

Why does industrial digitalization need to be accelerated?

How IT/OT convergence accelerates industrial digitalization?

Why data modeling and harmonization is required?

How to implement intelligent edge and data-driven shopfloor use cases?

What is Smart IIoT and edge DataOps?

How to accelerate digitalization and support I4.0 initiatives?

 


While enterprises need to meet traditional objectives like efficiency, productivity, resilience, and worker safety, they must also respond to the global climate and biodiversity crises by reducing carbon emissions and moving towards a circular economy through accelerated digitalization.

On an enterprise level, this links to IT/OT convergence: how to productize OT data efficiently with IT tools to measure KPIs and compliance targets, and foster automation at every level of the data lifecycle.

In the OT environment, this requires a modular, software-driven, standards-based operational data approach that shares data semantics over IT/OT convergence and seamlessly integrates OT into the enterprise data fabric.

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