This article provides a step-by-step guide on manually installing VS Code extensions when access to the online marketplace is restricted, including downloading .vsix files from GitHub and handling dependencies.
AI agents are the tech trend of the moment. It is promising to reshape industries, streamline operations, enhance customer experiences and drive smarter decision-making in ways we couldn’t have imagined just a few years ago. As businesses, leaders, and innovators, it’s vital to understand how these systems actually function, not
Where were you when the global banking crisis of 2008 hit? I was in banking – marketing, to be specific – and I supported our mortgage department. I vividly recall our bank’s chief risk officer repeatedly refusing to enter the adjustable-rate mortgage subprime lending business. Many banks were eating our
AI is reshaping insurance – from streamlining underwriting and fraud detection to fighting climate risk.
In today's digital age, marketing technology (MarTech) plays a crucial role in how businesses engage with their customers. However, the success of truly contextual customer engagement hinges on one fundamental principle: trust. Building and maintaining customer trust is essential for long-term business success, as it fosters loyalty and contributes to
AI and automation – often referred to as hyperautomation – are evolving rapidly with industry experts emphasizing their increasing ability to operate independently and make intelligent decisions. By combining powerful generative AI with business expertise, organizations can accelerate and streamline their processes like never before. I recently sat down with Mayank
The first-order autoregressive (AR(1)) correlation structure is important for applications in time series modeling and for repeated measures analysis. The AR(1) model provides a simple situations where measurements (on the same subject) that are closer in time are correlated more strongly than measurements recorded far apart. The AR(1) model uses
SAS' Simon Topp walks you through how to setup SAS Container Runtime Testbench to make operating and debugging your SAS Intelligent Decisioning decisions a breeze
SAS Viya Workbench integrates seamlessly with SAS Model Manager for SAS model deployment and monitoring.
AI is pushing the boundaries of innovation. Understanding how it works isn’t just for tech experts; it’s for everyone. Whether you have a basic understanding or are looking to sharpen your expertise, SAS has developed AI and machine learning courses to help you understand why AI matters. By combining practical,
As AI agents gain autonomy, the ability to make informed, strategic decisions – at scale – becomes mission-critical. AI has evolved rapidly. We started with rule-based automation and then moved to machine learning models. Then 2023 was the year of ChatGPT, and 2024 was the year of multi-modal AI. We’re now
Our circadian rhythms, the natural cycles that govern our sleep-wake patterns, are crucial for overall health. Not only do we feel more energetic when we sleep and wake at the right times for our bodies, but living in alignment with our 24-hour cycles has a big impact on our metabolic
Find out how SAS Tax Compliance for Sales Tax addresses the tax gap and helps agencies overcome their resource constraints through SAS technology, robust analytics, and process automation.
In a binomial regression model, the response variable is the proportion of successes for a given number of trials. In SAS regression procedures, you specify a binomial model by using the EVENTS/TRIALS syntax on the MODEL statement. Many analysts use the LOGISTIC or GENMOD procedures to fit binomial models. Visualizing
The world of data and AI is evolving at breakneck speed, with 2025 shaping into a year of breakthroughs and significant challenges. From AI model hallucinations to the role of synthetic data in innovation, industry leaders are grappling with complex issues that will shape the future of technology. I recently
The rise of digital banking, driven by tech-savvy consumers, has permanently transformed the financial services landscape. Both individuals and businesses now demand seamless, user-friendly experiences, to manage their finances effortlessly across multiple platforms. Generational shifts in expectations Younger generations, including Gen Z and Millennials, have distinct financial expectations compared to
SAS/STAT offers a principled treatment of missing data in a frequentist paradigm. SAS' Michael Senter reveals how with a few code tweaks, you can seamlessly transition to a Bayesian analysis.
Many people have an intuitive feel for residuals in least square models and know that the sum of squared residuals is a goodness-of-fit measure. Generalized linear regression models use a different but related idea, called deviance residuals. What are deviance residuals, and how can you compute them? Deviance residuals (and
Circadian rhythms are natural internal biological processes that regulate the sleep-wake cycle and repeat roughly every 24 hours. These rhythms are influenced throughout the day by external cues like light and environmental temperature. Syncing our biological functions with the diurnal, day-to-night, fluctuations of the natural world around us plays a
Fitting a Support Vector Machine (SVM) Model - Learn how to fit a support vector machine model and use your model to score new data In Part 6, Part 7, Part 9, Part 10, and Part 11 of this series, we fit a logistic regression, decision tree, random forest, gradient
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)
A previous article describes how to use SAS to find the inflection points of a 1-D function that you can evaluate at any point. The function must be given by a formula (or by an algorithm) because the root-finding algorithm needs to evaluate the function at arbitrary locations. However, sometimes
The SAS HBCU+ Fellows Program launched in 2023 with a mission to support faculty from Historically Black Colleges and Universities (HBCUs) and Predominantly Black Institutions (PBIs) with the tools, skills and knowledge to bring analytics into their classrooms and inspire the next generation of data-driven leaders. Since then, this initiative
If you asked health care and life sciences leaders, they would resoundingly say that the convergence of the industries is top of mind. Lita Sands, Managing Director at Deloitte, confirmed that this is a pivotal movement that can drive significant improvements in patient care and operational efficiencies. On a recent
A SAS programmer asked if it is possible to numerically find an inflection point for a univariate function, f(x). Yes! This can be solved as a variation of a classic numerical root-finding problem. Recall that an inflection point is a value (call it x0) in the domain where the graph
There is no question that organizations worldwide are increasing their investment in AI. There is also little doubt that AI is starting to impact many different sectors. The health care and life sciences sectors are no exception, with many organizations investing in new technology. The real issue is how to
Fast-paced technology like AI can have barriers to entry. Whether infrastructure, data limitations, talent gaps or complying with rapidly changing regulations. Organizations from health care to manufacturing and the public sector are often stymied by these obstacles that can slow AI adoption and use. Ready-made AI models can bypass the
The entries are in for the SAS Customer Recognition Awards, and now it’s time to vote for your favorite nominations. Read through all the submissions highlighting our customers’ innovative uses of SAS software in each of the three categories: Community Uplift, Innovative Problem Solver, and SAS Analytics Explorers Advocate. As
Once a bastion of stability, the banking industry now finds itself navigating a complex world of evolving risks. From economic uncertainty and geopolitical tensions to AI advancements and climate crises, the industry is navigating a whirlwind of risks that show no signs of slowing down. What worked in the past
