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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 públicas enfrentan el desafío constante de responder con transparencia, eficiencia y resultados tangibles para la ciudadanía. En este contexto, la toma de decisiones confiables se
In a previous article, I implemented an algorithm due to Niels Waller (TAS, 2020) that uses the method of alternating projections (MAP) to generate random correlation matrices that have a specified set of eigenvalues. The algorithm is iterative, and the MAP method is not guaranteed to converge, although Waller claims
AWS 기반 SAS Viya로 모델 모니터링 자동화…보고 시간 단축과 모델 거버넌스 강화 아프리카 최대 금융기관 중 하나인 Absa 은행은 500개 이상의 신용 리스크 모델을 운영하고 있었습니다. 이 과정에서 모델 모니터링과 보고에 최대 4주가 소요되는 문제를 해결하고자 했습니다. 높아지는 고객 기대와 규제 요구에 대응하기 위해 은행은 데이터 및 AI 부문
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.
세계적인 브랜드 Macy's는 정교하게 설계된 데이터 기반의 마케팅 의사결정을 통해 개인 맞춤화 형태의 유효한 고객 경험을 창출하는 데 집중하고 있습니다. 이 글은 SAS Thought Leadership, Editorial 및 Content 팀의 Amy Dyson의 글을 번역한 것입니다. (영문 링크) Macy’s는 '고객 중심(Customer Obsession)' 전략을 기반으로 고객 충성도와 지속 가능한 성장을 추진하는 기업입니다. 마케팅
Much of the conversation around agentic AI focuses on autonomy. How much work can an agent complete on its own? How many decisions can it make? How far can organizations remove people from the process? Those questions make sense, but they can also obscure where businesses are finding value today.
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 nos dias 24, 25 e 26 de agosto, no Distrito Anhembi, reunindo líderes, especialistas e empresas para discutir como dados, analytics e inteligência artificial estão
I've been working on a project that uses quasi-Monte Carlo (QMC) techniques to estimate probabilities for multivariate normal (MVN) distributions on finite or infinite rectangular regions. The goal is to enable SAS users to compute these probabilities accurately and efficiently. My implementation is based on a numerical technique called the
Learn how to use SAS code (PROC HTTP) to read and write files from your Microsoft OneDrive, Microsoft Teams or SharePoint Online. You'll learn how to create a Microsoft Office 365 app, connect to it with SAS, and automate the integration with your office productivity environment.
Organizations rarely struggle to build AI models. They struggle to scale them. Across industries, organizations continue to invest heavily in data and AI, yet many initiatives never move beyond pilot projects. The challenge isn't creating better models. It's maintaining the infrastructure that surrounds them. Data pipelines, governance, business rules and
Want the flexibility of modern Python development with the power of SAS behind it? Explore how SAS Viya Workbench combines familiar tools, on-demand compute, and Python-native access to advanced SAS algorithms in a single browser-based environment.
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. However, it doesn't have to be! Many people believe they need to spend an hour or more in the gym to see meaningful health benefits,
Gout has become common enough that most of us know what it is—or at least know someone who has dealt with it. But while gout gets most of the attention, the real issue behind it is uric acid. If you’ve had gout, you may have heard about purines or were
One of the great algorithms of linear algebra is the Gram-Schmidt orthogonalization process, which enables you to construct an orthogonal basis for a linear subspace from any set of linearly independent vectors that span the subspace. The Gram-Schmidt process is the basis for the QR decomposition in numerical linear algebra,
AI is evolving quickly, but where is it headed next? At SAS Innovate 2026, we asked customers, partners and industry leaders a simple question: What do you think the future of AI looks like? Their answers touched on everything from agentic AI and trustworthy AI to the role of human