Modernizing SAS data estates for cloud and AI workloads introduces challenges around cost, performance, and scalability—especially with traditional CAS-based architectures. This session demonstrates how SAS SpeedyStore (built on SingleStore) enables a “code-to-data” approach, combining high-performance analytics with a distributed, cloud‑agnostic storage layer. You’ll see how organizations can reduce infrastructure footprint, keep data in open formats, and execute SAS workloads directly in the database without excessive data movement. Real-world examples, including Posten Bring, highlight faster processing, lower storage costs, and a more flexible architecture for scaling modern analytics workloads.
Presenters: Jonas Lie Nielsen, SAS and Nils Erik Fossum, Posten Bring
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