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Most organizations are struggling to use AI insights. Even as it’s been easier than ever to produce predictions, recommendations and scores, many data science and business teams end up with a stockpile of unused information that doesn’t drive meaningful transformation. Decision intelligence helps organizations bridge that gap by embedding insights
Today, your life is being affected by decisions made by AI and machine learning systems. These technologies influence everything from hiring and lending decisions to the content you see online. When those decisions produce harmful outcomes, many people worry about the technology itself. But the greater risk beyond AI becoming
This article shows how to compute a confidence band for a Q-Q plot in SAS. A previous article shows how to construct confidence bands for the CDF of continuous univariate data. The bands can be added to a plot of the empirical CDF (ECDF) for the data. One of the
AI readiness is often framed around models, technology and talent. In practice, it starts with something more fundamental: trusted data. Without clean, integrated and governed data, even the most sophisticated AI systems can produce unreliable results and erode confidence across the business. I often meet with data industry professionals and
Under value-based care contracts, health systems are more responsible for both patient outcomes and the total cost of care. That means a preventable readmission, a delayed diagnosis or a missed follow-up appointment can affect not only patient health but also financial performance. To succeed, organizations need a clearer understanding of
Nourishing yourself during pregnancy is one of the most powerful ways you can support your growing baby – and your own well-being. While pregnancy comes with many changes, nutrition doesn’t have to feel overwhelming. With thoughtful, realistic choices, you can support healthy development, steady energy, and recovery through every stage
The platforms we choose don't just shape how data flows. They shape how people work. In clinical analytics, those decisions affect far more than technology. And in clinical development, a platform that only works for part of your team isn't a technology problem. It's a leadership problem and one every
Learn how the SAS Agentic AI Accelerator and SAS Viya can be used to build a governed, multi-agent support-ticket solution that combines text analytics, RAG, LLMs, business rules, and human oversight to improve resolution speed, accuracy, and operational efficiency.
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