Move beyond spreadsheets to data mining, forecasting, optimization – and more
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.
Imagine a world where data doesn’t just sit in spreadsheets but drives smarter decisions and sparks innovation. Across the globe, companies are tapping into advanced forecasting and analytics to make this a reality. From rethinking forecasting as a global materials science leader to refining processes in the transportation sector, these
Find out more about the importance and processes involved in model evaluation to become a more productive member of any analytical team
En el vertiginoso mundo de la analítica, la teoría es fundamental, pero la experiencia práctica es la que realmente marca la diferencia. En SAS, lo sabemos bien. Por eso, hemos forjado una alianza estratégica con la Universidad Carlos III de Madrid para impulsar el talento emergente, brindándoles la oportunidad de
UK banks are under growing pressure to manage risks more effectively, whether from economic shifts, technological advances or geopolitical uncertainty. The Bank of England’s Prudential Regulation Authority (PRA) sent a letter to the CEOs of UK deposit holders outlining its supervisory priorities for 2025. The letter sets expectations for stronger
Wanneer je denkt aan levensreddende technologie, denk je dan aan een statistische computeromgeving? Statistische rekenomgevingen (SCE) zijn essentieel voor het bevorderen van wetenschappelijke ontdekkingen door onderzoekers de mogelijkheid te bieden om gegevens efficiënt en volgens de regels te beheren, verwerken en analyseren, waarbij de integriteit van de regelgeving zo goed
Par Yulia Paramonova, Sr Associate Systems Engineer, SAS Viya Experience : quand l'analytique devient un jeu d’enfant En 2024, nous avons eu le privilège d’animer 20 ateliers Viya Experience, rassemblant 108 participants venant de 36 entreprises différentes. Ces sessions interactives ont permis à des professionnels de tous horizons de tester
Find out how SAS Tax Compliance for Sales Tax addresses the tax gap and helps agencies overcome their resource constraints through SAS technology, robust analytics, and process automation.
Cuando piensa en tecnología que salva vidas, ¿le viene a la mente un entorno informático estadístico? Los entornos de cálculo estadístico (SCE, por sus siglas en inglés) son fundamentales para acelerar los descubrimientos científicos, ya que permiten a los investigadores gestionar, procesar y analizar los datos de forma eficiente y
Ti viene in mente un ambiente di calcolo statistico, quando pensi alle tecnologie salvavita? Eppure gli ambienti di calcolo statistico (Statistical computing environment, SCE) sono determinanti per accelerare le scoperte scientifiche, in quanto consentono ai ricercatori di gestire, elaborare e analizzare i dati in modo efficiente e rigoroso, mantenendo la
Denken Sie bei lebensrettender Technologie an eine statistische Rechenumgebung? Umgebungen für statistische Berechnungen (SCE) sind für die Beschleunigung wissenschaftlicher Aufdeckungen von entscheidender Bedeutung. Sie ermöglichen es Forschern, Daten effizient und konform zu verwalten, zu verarbeiten und zu analysieren, unter Wahrung der größtmöglichen regulatorischen Integrität. Da die Forschung im Bereich der
Når du tænker på livsvigtig teknologi, kommer du så til at tænke på et statistisk databehandlingsmiljø? Statistiske databehandlingsmiljøer (SCE) er afgørende for at fremskynde videnskabelige opdagelser ved at gøre det muligt for forskere at administrere, behandle og analysere data effektivt og i overensstemmelse med reglerne og opretholde den største lovgivningsmæssige
SAS/STAT offers a principled treatment of missing data in a frequentist paradigm. SAS' Michael Senter reveals how with a few code tweaks, you can seamlessly transition to a Bayesian analysis.
En el nuevo ambiente analítico bajo demanda, SAS Viya Workbench conduce directamente al aumento de la productividad, rendimiento y confianza entre los desarrolladores de la Inteligencia Artificial. Como uno de los recientes lanzamientos de SAS, Viya Workbench este es un ambiente de cómputo que fue pensado para desarrolladores y modeladores
Fast-paced technology like AI can have barriers to entry. Whether infrastructure, data limitations, talent gaps or complying with rapidly changing regulations. Organizations from health care to manufacturing and the public sector are often stymied by these obstacles that can slow AI adoption and use. Ready-made AI models can bypass the
SAS' Sophia Rowland breaks down the roles of each team member in a long-term machine learning project and how they can better combine their efforts to increase efficiency and efficacy
A colleague asked me an interesting question: Suppose you have a structured correlation matrix, such as a matrix that has a compound symmetric, banded, or an AR1(ρ) structure. If you generate a random correlation matrix that has the same eigenvalues as the structured matrix, does the random matrix have the
AI is increasingly prevalent in our daily lives, and this trend is unlikely to change anytime soon. This comes with risks, but by understanding these risks, we can build AI systems that mitigate them.
A previous article discusses covariance matrices that have the same set of eigenvalues. The set of eigenvalues is called the spectrum of the matrix. For symmetric matrices, the spectrum contains real numbers. For covariance matrices, which are positive semidefinite, the eigenvalues are nonnegative. It turns out that two symmetric matrices
Synthetic data has emerged as a powerful tool for overcoming the limitations of real-world data. The future holds great promise for accelerated innovation. With synthetic data, companies can now generate financial transactions, medical records or customer behavior patterns that maintain statistical relevance like real data. This emerging technology can help
Major global elections, volatile financial markets, extreme weather events, and sophisticated and costly cyberattacks are increasing operational risks across every industry. Generative AI (GenAI) is redefining how industries navigate this uncertainty and transforming potential risks into powerful opportunities. Organizations across industries are increasingly invested in GenAI – for instance, last
En el mundo actual, donde los datos son el activo más valioso, la ciberseguridad se ha convertido en una prioridad absoluta para las organizaciones. Proteger información sensible mientras se permite un análisis avanzado y eficiente requiere plataformas que sean no solo potentes, sino también resilientes frente a las amenazas digitales.
SAS' Danny Sprukulis walks through how he developed a model theme park to simulate attraction wait times for operational decision-making.
SAS' Natalie Patten shows you the potential of integrating a country classification transformer into data cleansing workflows.
¿Te gustaría descubrir si tu entorno está completamente optimizado para rendir al máximo, o si necesita ajustes específicos o algún ejercicio de tuning para mejorar su eficiencia? ¿Qué es? El servicio de Health Check realiza una proceso de análisis y diagnóstico de los entornos SAS (SAS 9.x , Viya 3.5
As populations around the world the U.S. continue to grow, both condensing in urban areas and sprawling in more rural areas, the importance of a functioning distribution network for utilities grows proportionally. The complexity and interconnected nature of say, the electric distribution network, is already staggering; one can hardly imagine
Rising chronic conditions, escalating demands for health care services, and the dual crises of staff shortages and burnout make the urgency of streamlined and efficient processes more critical than ever. The future of care lies in advanced technologies. Whether it’s a routine check-up or a complex medical condition, integrating AI
SAS' Shawn Romero introduces you to the SAS Payment Integrity for Food Assistance model.
While researching the topic of Latin hypercube sampling (LHS), I read an article by Emily Gao (2019) that shows how to use PROC IML in SAS to perform the algorithm. It is possible to simplify Gao's implementation of Latin hypercube sampling in SAS while also making the computation more efficient.
En un mundo donde la información viaja a la velocidad de la luz y las decisiones deben tomarse con precisión quirúrgica, contar con herramientas tecnológicas avanzadas ya no es un lujo, sino una necesidad. A pesar del auge de soluciones de analítica e inteligencia artificial, muchas instituciones aún no aprovechan
