Let’s be real: no single language rules the world anymore. It’s all about the right tool for the job. You’ve seen the lists: “Top Programming Languages of 2024.” “Python vs. Rust: The Ultimate Showdown.” “Why Java Refuses to Die.” But you rarely see SAS on these lists. And I get
Accurately identifying lag structures between related time series is essential in public health forecasting, particularly during epidemics where delays between infections and hospitalizations affect planning. Using a simulated SEIR model and SAS Viya’s PROC TSSELECTLAG, distance correlation is shown to outperform Pearson correlation by correctly identifying nonlinear lag relationships—such as the true seven-day lag between new infections and hospital admissions.
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
Synthetic data has become a valuable resource in data science and machine learning. Superior quality, reliable synthetic data facilitates analysis and iteration at scale while mitigating privacy concerns associated with real data and can fill gaps where real data is scarce. Note, however, that “good” synthetic data is not defined
What if your cloud analytics environment was smart enough to spin up the exact amount of computing resources required for any specific job? What if you had an AI tool that could determine your computing needs for any given analytics project, scale up to run the job and then scale
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
Let’s talk about the must-attend event of the year: SAS Innovate 2025. It’s happening May 6-9 in Orlando, Florida and it’s not your average tech conference. Think groundbreaking innovation meets star-studded entertainment. Plus, a little nostalgia to keep things fun. Where else can you hear industry leaders lay out the
Ida B. Wells was a pioneer in the United States who used data collection and analysis methods well ahead of her time. Today, she might be called a data scientist, but I'll call her a boss! Her approach to documenting and analyzing lynchings back in the day (late 19th century)
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
As technology becomes a central part of how we communicate, learn, and interact with the world, many students in many regions still lack the digital skills needed to unlock their full potential. Bridging this digital divide not only offers a concrete path toward economic prosperity but also is foundational to
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
Data science continues to be a pivotal force driving innovation across industries. From enhancing customer experiences to optimizing operational efficiencies, the role of data science is expanding, bringing with it new challenges and opportunities. This article explores the emerging trends and technologies that are shaping the future of data science
A pandemia trouxe grandes desafios crónicos e específicos à atividade das autoridades tributárias – como os atrasos ou mesmo suspensão do pagamento de impostos, a necessidade da digitalização de processos, o repensar formas de tributar novas atividades resultantes de empresas que começaram então a operar digitalmente, etc. – que exigiram
In a world rich in data, data enthusiasts and problem solvers can have greater success and innovate faster with flexibility in choice. To code or not to code. The answer aligns with the problem and the data talent working to solve it. What does innovation look like inside your organization?
The ancients’ practice of publicizing set-in-stone personal records would run anathema to modern data privacy laws. These days, in lieu of using contemporary personally identifiable records, I anonymized a 4,000-year-old tax record from ancient Babylon to describe three principles for effective data anonymization at scale: Embracing rare attributes: values and
En los últimos años, la ciencia de datos ha experimentado un crecimiento exponencial y se ha convertido en un pilar fundamental para las estrategias de las organizaciones en todas las industrias. Sin embargo, para los data scientist experimentados, el panorama del dato se encuentra en un proceso de cambio constante.
An uncertain global economic climate has created a sense of unease and a heightened risk when managing finances for individuals and banking and financial institutions. Helping banks and financial institutions manage risk is a central pillar of how SAS adds value for our customers, who must ensure their organization is
SAS® pairs perfectly with data and AI and many at SAS Innovate agree. SAS Innovate host and technical training consultant Dominique Weatherspoon welcomed attendees at the Aria in Las Vegas. SAS Chief Technology Officer Bryan Harris dove into a few important topics including innovation inspired by human need, how SAS
Developers and modelers face challenges when finding and validating data, collaborating across groups, and transferring work to an enterprise platform. Using a self-service, on-demand compute environment for data analysis and machine learning models increases productivity and performance while minimizing IT support and cost. In this Q&A, Joe Madden, Senior Product
The Co-Founder of Ladies Learning Code and Canada Learning Code talks about strides in Canadian computer science education, AI, the future of coding, and more. Companies use many legacy processes to empower their employees, and that's just one of the many barriers employees face in the workplace. Organizations that prioritize
Estamos quase na Semana Santa o que, por ser uma das épocas em que mais viagens se realizam por todo o país, pode apresentar vários desafios à rede rodoviária e aos sistemas de transporte. A variabilidade nos padrões de movimento durante estas datas acrescenta uma camada adicional de complexidade, o
Artificial intelligence (AI) is revolutionizing the way medical professionals deliver care and manage patient data. By harnessing the power of advanced algorithms and machine learning, AI applications contribute to more accurate diagnostics, personalized treatment plans and streamlined administrative processes. The integration of AI into health care is helping create a
For the data scientists and developers who use analytics to extract insights from massive volumes of data, it’s easy to see the appeal of operating in a metacloud environment. After all, analytics workloads are not only resource-intensive – they’re also highly variable and differ in terms of importance and urgency.
La información certera es la base sobre la que se edifican las empresas, especialmente en un contexto en el que la preparación y la resiliencia son cada vez más importantes. Con el aumento en la cantidad de datos disponibles y la necesidad de aprovecharlos para tener mejores resultados, también hemos
In the classrooms of South Africa, students are learning how to code with hopes of creating future opportunities for themselves. Coding4Mandela, an initiative honoring Nelson Mandela, strives to instill coding and technological skills in youth. The belief is that empowering young minds with digital literacy enhances their educational and professional
Nel corso degli anni SAS ha costruito una solida partnership con il mondo accademico. Oggi collaboriamo con più di 40 università italiane e siamo presenti all’interno di percorsi di studio per formare giovani studenti e studentesse su temi come analytics, intelligenza artificiale e machine learning, stimolando la loro curiosità, il loro senso
The global demand for analytics talent persists, with organisations facing challenges finding qualified individuals to support their growth. McKinsey’s recent survey revealed a significant shortage of skilled practitioners for the most in-demand tech skills, with less than 50% of the required professionals available worldwide. Despite the well-known STEM skills gap,
More than spreadsheets and formulas, data analytics combines technology, creativity and strategic thinking to help diverse industries make innovative discoveries and leave an impact where it matters most. Even historically, non-technical industries like agriculture, for instance, are tapping into data management and visualization to predict and reduce their carbon footprint
