Digital twins can sound abstract until they’re used to solve a real operational problem—like spotting production failures before they happen. This session shows how SAS brings digital twins, conversational AI, and real-time analytics together so users can describe a use case in natural language and let SAS AutoML for IoT generate the structure behind it. With SAS Retrieval Agent Manager helping populate the configuration and SAS Event Stream Processing powering real-time deployment, the workflow moves from conversation to trained models, live monitoring, and deployment-ready projects. It’s a practical look at how organizations can build and scale digital twins faster, without making every user become a data engineer first.
Presenter: Steven Enck, SAS
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