Move beyond spreadsheets to data mining, forecasting, optimization – and more
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
Los avances tecnológicos cada vez son más impresionantes. Como si se tratase de alguna película de ciencia ficción, ahora es posible integrar a las patrullas con sistemas sofisticados que podrían ayudar a prevenir diversos crímenes y apoyar a que el país sea más seguro. En un país como México, donde
En la actualidad, los modelos analíticos son herramientas esenciales para tomar decisiones basadas en datos. Desde prever tendencias hasta optimizar operaciones, los modelos analíticos dependen en gran medida de la calidad de los datos de entrada. La precisión, integridad y relevancia de estos datos son cruciales para obtener resultados confiables
Customer trust is a multifaceted thing. On one hand, earning and keeping it requires marketers to overcome a myriad of threats. On the other hand, trust is almost universally revered by marketers, and once obtained, the benefits are plentiful. A new report from Harvard Business Review Analytic Services and sponsored
Fairness, transparency, integrity and competition are essential for managing public funds. We rely on departments to choose the best value from the private sector. Efficient public procurement improves services, infrastructure, and the economy. It must also be accountable to the public by protecting financial loss from fraud, waste, abuse, and
Step behind the scenes to see the role of neural networks in detecting payment fraud.
It is no surprise that generative AI (GenAI) is quickly becoming a potent tool in the health and life sciences industry. There are numerous ways that AI and GenAI can help beat the rising tide of fraud. We can count on these new technologies to enable the ability to commit
Fraud knows no boundaries. It’s one of the biggest challenges related to tax governance around the world. Tax crimes have serious consequences – tax losses, tax base erosion, national security risks and economic disruption. The effect is far-reaching. Governments are strained to fill the gap between revenues and spending and
Decisores em diversas indústrias já sabem que a implantação de grandes projetos de analytics, IA e dados tem se tornado cada vez mais estratégica para o sucesso dos negócios. Porém, a execução destas iniciativas requer atenção em pontos cruciais, que vão desde a identificação dos objetivos até a adoção e
SAS' Jennifer Hargrove introduces the SAS Medication Adherence Risk model, a way to identify patients at high risk of being non-adherent to their medication therapy so that interventions can be provided to help patients remain adherent.
When the SAS Global Forum 2020 conference was cancelled by the global COVID-19 pandemic, I felt sorry for the customers and colleagues who had spent months preparing their presentations. One presentation I especially wanted to attend was by Bucky Ransdell and Randy Tobias: "Introducing PROC SIMSYSTEM for Systematic Nonnormal Simulation".
En la era de la transformación digital, la velocidad, la escalabilidad y la rentabilidad no son solo indicadores de desempeño; son factores decisivos que permiten a las empresas mantenerse competitivas. Hoy, en SAS, nos enorgullecemos de ver cómo nuestra plataforma de IA y analítica, SAS Viya, no solo cumple con
La Inteligencia Artificial Generativa y la Inteligencia Artificial Predictiva son cada vez más utilizadas en el sector asegurador para predecir tendencias, demandas y optimizar operaciones. Sin embargo, de acuerdo con un estudio elaborado por Ernest and Young, el 50 % de los ejecutivos y responsables de áreas de tecnología no
They say nothing in life is certain other than death and taxes, but there something else I’ve found I can count on from experience: sending out invites for a party on social media only to receive a few affirmative responses and a whole slew of “maybe”. I know my friends
Imaginez que vous pouvez créer des données aussi facilement que vous imprimez des documents. Pas besoin d'attendre, pas besoin de s'inquiéter de la conformité ou de la confidentialité. Juste une base solide de données fiables et exploitables. Dans un monde où la data est le cœur de la transformation numérique,
Dans le paysage technologique actuel, les données synthétiques, nouveau sous ensemble de l’IA générative, apportent de nouvelles pistes de réflexion pour la création des modèles d'intelligence artificielle. Contrairement aux données traditionnelles, pouvant être limitées par des contraintes de biais, de quantité, ou encore des contraintes de confidentialité et de conformité,
