The SAS Data Science Blog
Advanced analytics from SAS data scientists
As agentic AI systems evolve through protocols like MCP and A2A, traditional security practices must be adapted to address new risks such as goal misalignment and tool instruction abuse. This article explores practical threat modeling strategies, including goal alignment cascades and distinguishing between parameter-only vs. instruction-enabled tool calls.
Get an introduction to AI Copilot for the SAS Strategic Supply Chain Optimization Model, designed to democratize access to advanced modeling capabilities.
SAS's Kevin Scott explains how to set up and analyze a dataset for forecasting in SAS Viya with a particular emphasis on selecting lags for dynamic models
Learn how to incorporate operational variables, or covariates, into predicting asset survival probabilities.
Get an overview of how the SAS Strategic Supply Chain Optimization model tackles complex supply chain challenges.
Although large language models (LLMs) dominated the spotlight in 2024, SAS' David Weik sheds light on other exciting developments that have largely flown under the radar. He explores what makes transformers so unique.