Beyond bloating: what SIBO is and what you can do about it
Chronic bloating, gas, abdominal discomfort, constipation, or diarrhea can be incredibly frustrating — especially when symptoms seem to show up after almost every meal. If
From model to meaning: Using GenAI to understand and improve statistical models
A model can finish running in seconds. Understanding what it is telling you can take much longer. A fit statistic signals how well a model
Decisiones confiables: gobiernos que avanzan
La confianza es uno de los activos más valiosos para los gobiernos. En un entorno marcado por la complejidad social, económica y tecnológica, las instituciones
Optimizing clinical and operational resources through AI-driven medical record intelligence
A clinical reviewer is not a data entry specialist. Yet in many payer organizations today, that’s effectively what they’ve become. Highly trained nurses and clinicians
SAS no Febraban Tech 2026: agenda de palestras
O SAS estará presente no Febraban Tech, um dos mais importantes eventos de tecnologia, inovação e negócios da América Latina. Neste ano, o evento acontece
Using SAS with Microsoft 365 (OneDrive, Teams, and SharePoint)
If your work environment is like ours here at SAS, you’re seeing more of your data and applications move to the cloud. It’s not yet
The power of a 10-20 minute workout
Life somehow has a funny way of always making us busy, and fitting a workout into an already packed schedule seems like an impossible task.
Modernization lessons from Posten Bring and Regeneron
The best migrations don’t just move workloads. They move organizations forward. Migration is often described in technical terms: workloads moved, systems retired, data transferred, users
Building a governed banking workflow with SAS® Viya® MCP Server and Claude Cowork
Many discussions about Model Context Protocol (MCP) focus on an AI assistant calling an API and returning a result. Banking requires more than pass-through connectivity:
Nonnegative matrix factorization with sparseness constraints
A previous article describes the nonnegative matrix factorization (NMF). You can use the NMF to reveal important features in data that can
