Authors: Jennifer Hargrove and Ruth Baldasaro As technology continues to evolve rapidly, ethically centered model design is becoming increasingly important. In this post, we provide a brief overview of SAS Models and describe how all SAS models are built using SAS’ core principles for responsible innovation. SAS Models are built
The most valuable dashboards often lead to another question. Which region drove the increase in sales? How did that compare with last year? Which products contributed most to the change? What started as a simple question about a dashboard has become a deeper analytical exploration. But traditionally, answering that next
This post familiarizes a practitioner with LLMs, SLMs, and VLMs as well as serving as a field guide for navigating this rapidly evolving terrain.
AI-powered medical record intelligence helps healthcare organizations turn unstructured clinical documents into actionable insights, reducing administrative burden and enabling faster, more consistent review decisions.
Learn how the SAS Viya MCP Server enables AI assistants like Claude Cowork to orchestrate governed, auditable banking analytics workflows while keeping model execution, governance and oversight within SAS Viya.
Explore how SAS Health and SAS Viya help healthcare organizations transform clinical and operational data into predictive, AI-driven decisioning workflows that improve patient outcomes through risk identification, model deployment, and governed agentic AI.
Authors: Subbu Pazhani and Rob Pratt In a recent post, we demonstrated how Simulated Annealing (SA) can be used to solve the Traveling Salesman Problem (TSP) by using SAS Optimization. In this post, we extend that discussion by exploring how the Ant Colony Optimization (ACO) metaheuristic can be applied to the same problem
Learn how banks can combine customer insights, centralized decisioning, and agentic AI in SAS Viya to deliver more consistent, explainable, and personalized customer interactions across every channel.
Learn how the SAS Agentic AI Accelerator and SAS Viya can be used to build a governed, multi-agent support-ticket solution that combines text analytics, RAG, LLMs, business rules, and human oversight to improve resolution speed, accuracy, and operational efficiency.
Explore how SAS AI-Driven Entity Resolution on SAS Viya combines no-code configuration, probabilistic matching, and industry-specific integrations to create trusted identities, improve data quality, and support critical decisions across sectors such as public services and financial crime prevention.
