As generative AI moves from pilots to production, organizations need proven patterns for deploying it securely and at scale. This session presents a practical framework for integrating generative AI into SAS® Viya, grounded in real‑world enterprise implementations. Attendees will learn how to combine large language models with classical analytics, apply retrieval‑augmented generation (RAG) for greater accuracy, and establish enterprise‑ready MLOps and governance for GenAI systems. Case studies from finance, healthcare, and customer intelligence highlight measurable impact—including reduced analyst effort, improved accuracy, and faster insights.
What if the real problem with AI isn’t generating answers—but trusting them? This talk challenges the hype around generative AI, revealing how even polished outputs can be dangerously wrong, and introduces a shift from “raw → RAG → right” to build truly reliable systems. You’ll get a peek into a powerful architecture that combines SAS Viya, retrieval-augmented generation, and rigorous validation to turn AI from a fluent storyteller into a proven, auditable decision engine. With striking real-world results—massive error reduction, cost savings, and near-perfect accuracy—it’s a compelling look at how enterprise AI must evolve from sounding right… to being right.
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