Welcome & The Big Picture

• The Need for Speed: Why Time-to-Value is the New AI Currency.
• Acknowledge the audience's history with SAS and introduce the central theme of accelerating AI initiatives.

The ROI of Innovation: Cost-Optimizing Enterprise AI

This session will showcase the financial advantages of SAS Viya, emphasizing how its cloud-native architecture, native support for open data formats such as Parquet, and seamless Kubernetes integration drive significant cost efficiencies. By optimizing compute and storage resources, reducing data movement, and enabling elastic scaling, SAS Viya ensures lower total cost of ownership (TCO) and more efficient resource utilization—particularly for large-scale AI and advanced analytics projects

Accelerating from SAS 9.4 to SAS Viya

• We will present a side-by-side comparison of common tasks—such as model development and data integration—demonstrating the speed, efficiency, and scalability gains with SAS Viya. A key focus will be showing how existing SAS 9.4 code and expertise are not replaced but seamlessly leveraged, ensuring that current skills remain highly valuable and directly transferable. This provides a clear, low-risk path for users to accelerate their work and realize immediate benefits on the Viya platform.
• To further highlight productivity, we will showcase the integration of SAS Copilot, an AI-driven assistant embedded within the Viya environment. SAS Copilot enhances human productivity by helping data scientists and business users alike—writing code snippets, suggesting next steps, and simplifying complex model outputs into plain language. This seamless assistance empowers users to work faster, smarter, and with greater confidence.

Coffee Break

From Idea to Insight: Unleashing SAS Viya's Agentic AI & Copilot

• This session is the heart of our event, where we'll bring our latest innovations to life. We'll show you how to go from raw data to a complete AI solution using SAS Data Maker and SAS Agentic AI.
• First, we'll demonstrate how SAS Data Maker accelerates the most critical step of any AI project: data preparation. You'll see how it simplifies data acquisition, cleansing, and feature engineering, creating a "perfect" dataset at unprecedented speed. Building on that foundation, we'll then showcase a real-world use case with SAS Agentic AI. We'll demonstrate how this technology can automate complex, multi-step decisions, going beyond simple predictions to execute a full sequence of actions on its own

Q&A / Quiz & Prize Giveaway