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A previous article shows how to construct an empirical cumulative distribution function (ECDF) for univariate data by using PROC UNIVARIATE or in the SAS IML language. The ECDF is a tool for visualizing the distribution of a sample and is helpful for estimating quantiles in the data. In statistics, we
Most leaders do not have an AI problem. They have a readiness problem. In many small and midsized businesses, pilots are underway and use cases are defined. But when leaders step back and ask the harder question, "Is AI actually paying off?", the answer is often less clear. This gap
En el actual ecosistema empresarial de Latinoamérica, las organizaciones ya no buscan simplemente herramientas que analicen datos; necesitan sistemas capaces de actuar. La evolución de la Inteligencia Artificial hacia un modelo agéntico marca el inicio de una era para sectores como el de las telecomunicaciones, donde la autonomía de la
A duplicate customer record. A missing zip code. A workaround someone did years ago. On their own, these don’t seem like big issues. But together, they create inconsistencies that have a ripple effect – often with major consequences. Here’s a truth that we can all agree on: If your data
Explore how SAS AI-Driven Entity Resolution on SAS Viya combines no-code configuration, probabilistic matching, and industry-specific integrations to create trusted identities, improve data quality, and support critical decisions across sectors such as public services and financial crime prevention.
A quick search through headlines reveals a range of AI-related disappointments. Consider that 95% of GenAI pilots fail, according to MIT. Amazon’s Kiro agent recently sparked a 13-hour outage by deleting a production environment. And we can’t forget that the resource and energy strain from a new wave of AI
Marketers have made enormous strides with generative AI (GenAI) over the last year, moving from experimentation to large-scale deployment. But the next shift in AI maturity – agentic AI – is already underway. This shift will push organizations beyond prompt-based productivity and into a world where AI can act, learn
Desde sus orígenes en el ámbito estadístico hasta la actual era de la inteligencia artificial, SAS celebra cinco décadas de innovación confiable. Durante este tiempo, la organización ha demostrado que, cuando las empresas invierten en las personas e innovan con un propósito claro, la confianza se consolida como el activo
A previous article shows how to construct an empirical cumulative distribution function (ECDF) in SAS. The most common way is by using PROC UNIVARIATE, but you can also call the ECDF function in the SAS IML language. The ECDF is a tool for visualizing the distribution of a univariate sample
This post explores how Agentic AI and LLMs can help reduce employee attrition by delivering personalized development guidance based on workforce analytics and skill profiling. Using SAS Viya and governed AI workflows, the solution matches employees with tailored learning opportunities while supporting transparent, scalable, and data-driven workforce planning.
Georgia-Pacific didn’t treat AI as a science project or a luxury add-on while researching solutions. They made it core to operations, scaling intelligent decisions across an enterprise as massive as their manufacturing footprint. Georgia-Pacific manufactures products used every day, like bath tissue, boxes and lumber, across more than 150 sites
The best AI assistance meets you where you are. A chat window opens. A question surfaces. An answer comes back before momentum fades. That conversational experience is powerful precisely because it keeps insight close to the work. But there's a version of assistance that goes even further – one that
Hear from our experts how insurers can create AI safeguards and ensure safe model use.
Heart disease remains the leading cause of death in the U.S. and around the world. In fact, more than half of all U.S. adults are living with some form of cardiovascular disease. With annual costs topping $400 billion in the U.S. alone, researchers continue to look for better ways
The empirical cumulative distribution function (ECDF) is an important tool in statistics. It is one of several plots you can use to visualize the shape of a data distribution. It is not used as often as the histogram, the kernel density estimate, and the box plot, but it is essential