Mapping in SAS Viya gives the user plenty of options for maps to use. Signing in to ESRI on SAS Viya gives us many more. But what if the map that is needed is not available and is technically not a map at all? Well, not to worry, as there is
Mapping in SAS Viya gives the user plenty of options for maps to use. Signing in to ESRI on SAS Viya gives us many more. But what if the map that is needed is not available and is technically not a map at all? Well, not to worry, as there is
Using college football recruiting and talent data as an example, let's see how DuckDB’s flexibility and SAS integration streamline complex transformations and queries.
Learn how to save time and money when performing multiple repeated measures analyses with the LOGSELECT and GENSELECT procedures in SAS Viya.
Getting Started with Job Scheduling in SAS Viya If you have ever had to manually trigger Viya jobs, you know the drill: it is tedious, and one forgotten click can throw everything off. That is where SAS Viya job scheduling comes in. It lets you automate your programs, data loads,
En un mundo hiperconectado, donde los pagos digitales y las transacciones online crecen a un ritmo vertiginoso, el fraude financiero y el incumplimiento normativo se han convertido en desafíos críticos para las organizaciones. Según la ACFE, las empresas pierden en promedio el 5% de sus ingresos anuales por fraude, lo
As a Senior Lecturer in Finance at Massey University, one of New Zealand’s leading tertiary institutions, my role as an educator is to prepare students to thrive in a rapidly evolving, data-driven world. I have always believed that analytics education must strike a balance between technical capability and critical thinking,
Each year, the SAS Finance Analytics School (SAS FAS4S) brings students inside the real world of financial decisioning – far beyond what any classroom lecture can offer. It’s a rare chance to see how analytics, AI and fraud prevention actually work inside banks, public institutions, and regulatory environments. That’s what
Data is growing faster than most organizations’ ability to manage it. At the same time, business leaders are under pressure to deliver insights quickly and cost‑effectively. Traditional, closed systems often make that harder: they lock data into proprietary formats, increase duplication and limit flexibility. That’s why open data architecture is
If you’re building AI solutions today, you already know the stakes: faster decisions, trusted results and the ability to scale without blowing up your compute budget. What you may not always see is what’s happening under the hood to make that possible. That’s where strong technology partnerships matter. For more
With the rapid evolution of regulatory environments, the pressure on financial institutions (FIs) to effectively detect and prevent money laundering while staying compliant with the changing pace of regulatory requirements is greater than ever. However, with the right tools and strategies, this pressure can be effectively managed. Regulatory scrutiny is
Con la irrupción de la IA, el volumen y la complejidad de modelos en producción se han disparado. En 2024, el 65% de las organizaciones declara usar gen-AI de forma regular y la adopción de IA en general subió hasta el 72%, extendiéndose a más funciones del negocio. Esto multiplica
At SAS Innovate in Orlando, our partners shared how they’re helping public sector organizations modernize operations and serve communities more effectively with SAS®. From using AI and automation to streamline government workflows, to enabling data-driven decision-making that improves citizen services, they’re showing what’s possible when innovation meets collaboration. In
La búsqueda por maximizar nuestra productividad es constante. Todos queremos ser más eficientes en el trabajo y tener más tiempo para compartir con nuestros seres queridos. Al evaluar tecnologías de datos e inteligencia artificial para automatizar procesos y mejorar la eficiencia, es natural preguntarse si realmente es posible adoptar una
El fraude en siniestros de autos es uno de los grandes retos para las aseguradoras. No siempre se trata de un reclamo aislado y evidente: en muchas ocasiones, se forman redes de personas y proveedores que actúan de manera coordinada para explotar vulnerabilidades en los procesos de indemnización. Los métodos
Authors: Shahrzad Azizzadeh, Kaustubh Khandwe, Bahar Biller, and Paul Venditti On large-scale solar farms, power loss is the silent drain on profits. Unoptimized panels chip away at efficiency, causing hidden losses that people often overlook—but those losses are never insignificant. In this post, we’ll uncover how to spot and solve these
Cada día, la IA toma decisiones que determinan vidas, industrias y el futuro. ¿Pero podemos confiar en esas decisiones? Las organizaciones están haciendo grandes inversiones en IA, y eso está cambiando la forma en la que se toman las decisiones. Pero sin resultados claros y un valor demostrado, invertir en
En la práctica diaria, la inteligencia artificial solo es tan buena como los datos que la alimentan. Más de una vez hemos comprobado que el dicho “si entra basura, sale basura” está más vigente que nunca, sobre todo ahora que los errores de los modelos y las predicciones sesgadas pueden
As more organizations migrate work to the cloud, the conversation is moving from infrastructure requirements to the impact of cloud technologies. Organizations can see the benefits. IT teams are being freed up to focus on innovation and high-return projects. According to Gartner, cloud computing is a must for capitalizing on
Learn how public health agencies can streamline analytic software costs by assessing tool usage, infrastructure, and licensing, and by leveraging SAS Viya’s cloud-based capabilities to improve efficiency and collaboration amid budget constraints.
Hoy en dia, donde la inteligencia artificial (IA) se ha convertido en una aliada cotidiana para desarrolladores y programadores, resulta tentador delegar gran parte del trabajo técnico a estas herramientas. Plataformas como GitHub Copilot, ChatGPT, y asistentes de código automatizado prometen acelerar el desarrollo, generar soluciones en segundos y hasta
Leaders are increasingly preparing their organizations for the latest AI technology. The problem? They aren’t ready and struggle to implement and show ROI. Despite widespread recognition of AI’s potential, a critical trust gap has emerged in the enterprise landscape. A report by the Boston Consulting Group (BCG) reveals that 74%
Clinical trials are the engine behind every new treatment we see – from life-saving cancer drugs to vaccines that help us fight global pandemics. But behind the scenes, running these trials involves juggling massive amounts of complex, sensitive data. For pharmaceutical companies, outdated technology systems can slow everything down, delaying
SAS: Un pionero que sigue liderando Desde su inicio como proyecto académico en la North Carolina State University en 1976, SAS se ha consolidado como un líder global en analítica e inteligencia artificial. Durante casi cinco décadas, la compañía ha capacitado a las organizaciones para transformar datos en información estratégica,
For small to medium businesses, the pressure to innovate is real, but so are the constraints. Teams are expected to deliver more with the same resources, manual processes and limited budgets. Modernizing analytic workflows often feels out of reach, especially without enterprise-level staff or funding. But change is coming fast.
If you’ve ever heard someone mention a “SAS User Group” and thought, “What does that actually mean?” you’re not alone. These groups are a cornerstone of the SAS ecosystem – but unless you’ve attended a meeting or conference and seen them in action, they can feel a little mysterious. Let’s break
At SAS Innovate in Orlando, our partners shared how they’re driving meaningful change with SAS®. From strengthening financial services with AI-powered AML solutions, to helping marketers build privacy-conscious personalization, to enabling scalable, cloud-based analytics, they’re showing what’s possible when innovation meets collaboration. In the video above, you’ll hear directly from
In a world where headlines often warn of automation replacing jobs and AI outpacing human creativity, it’s easy for young professionals to feel uncertain about their place in the future. But this summer, a group of SAS interns proved that technology can be a tool for good. Through a data
The speed at which your organization can deploy new AI models determines your ability to stay ahead of the competition. It’s a measure of your ability to experiment and innovate, try new things and learn quickly. It’s also one of the reasons organizations are investing in SAS® Viya® – which
Every organization collects data, but collecting it isn’t enough. For companies that want to make personalized offers, detect fraud and optimize supply chains, decision-making is the ultimate measure of analytics success. But despite massive investments in data infrastructure and AI, many companies still struggle to bridge the gap between insight and action. That’s
Every day, AI is making choices that shape lives, industries and the future. But can we trust those choices? Organizations are making huge investments in AI, and it’s changing how decisions are made. But without clear results and proven value, investing in these technologies may be a failure. In fact,