Many organizations operate in a split analytics ecosystem, with SAS powering production and Python driving innovation, creating silos that slow collaboration and deployment. This session explores how SAS Viya bridges that divide by enabling seamless interoperability between SAS and Python, allowing teams to build, validate, and deploy models together on a unified platform. By supporting shared workflows, reproducibility, and scalable pipelines, organizations can unlock enterprise AI while maintaining governance and flexibility. Ultimately, the approach emphasizes that success comes not from choosing one language, but from enabling both to work together effectively.
Presenter: Lama Shaer and Yang Hu, Hyundai Capital America
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