Many organizations struggle to move AI from experimentation into production, often due to fragmented systems, lack of governance, and integration complexity. This session explains how SAS Intelligent Decisioning provides a unified, governed framework to operationalize AI—combining data, models, and business rules into executable decision flows. These flows can be deployed at scale across real-time, batch, and API-driven environments while maintaining traceability and compliance. It also highlights how decisioning integrates with copilots and agent ecosystems, enabling trusted, automated actions—not just model outputs.
Presenter: Diana Maris, SAS
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