SAS' Phuong Ngo demonstrates an automated shift-left CI/CD security workflow.
Part of the power of the SAS ODS system is the ability to visualize data by using ODS templates. An ODS template describes how to render data as a table or as a graph. A lot of papers and documentation have been written about how to define a custom template
Each color of the rainbow – red, orange, yellow, green, blue and purple – provides a unique set of nutrients and health benefits that allow our bodies to function more optimally. As we continue to work our way through the rainbow in this occasional series, let’s go for green. Remember, our
While writing an article about Toeplitz matrices, I saw an interesting fact about the eigenvalues of tridiagonal Toeplitz matrices on Nick Higham's blog. Recall that a Toeplitz matrix is a banded matrix that is constant along each diagonal. A tridiagonal Toeplitz matrix is zero except for the main diagonal, the
At SAS, where you start doesn’t have to be where you end; and there’s ample opportunity for internal career mobility. Milena Vukasovic has experienced this firsthand, and recently moved into a new role at SAS as a Sr. Associate Implementation Project Manager. Meet Milena Milena’s SAS story began at our
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A Toeplitz matrix is a banded matrix. You can construct it by specifying the parameters that are constant along each diagonal, including sub- and super-diagonals. For a square N x N matrix, there is one main diagonal, N-1 sub-diagonals, and N-1 super-diagonals, for a total of 2N-1 parameters. In statistics and applied
What if, 12 months ago, someone bet you that a technology was coming in the next year that would cause great excitement and great fear in all businesses, industries and geographies? Would you have taken that bet? Of course, now we know that the technology is generative AI. Popularized by
SAS is known for providing an excellent customer experience. To continue that trend, we are currently modernizing our customer portal. This new system is scheduled to be in place by the end of the third quarter. In this blog, we want to give you a brief overview of what to
A previous article explains the Spearman rank correlation, which is a robust cousin to the more familiar Pearson correlation. I've also discussed why you might want to use rank correlation, and how to interpret the strength of a rank correlation. This article gives a short example that helps you to
Since the COVID-19 pandemic began, video presentations and webcasts have become a regular routine for many of us. On days that I will be using my webcam, I wear a solid-color shirt. If I don't plan to be on camera, I can wear a pinstripe Oxford shirt. Why the difference?
The analytics are mind boggling. But the story isn’t analytics. The designs will wow you. But the story isn’t design. The story, as it has been in each of the past 10 years, is that these amazing analytical designs sprang from the minds of students – North Carolina State University
As organizations embrace AI, they often handle large volumes of data that power AI systems. Handling data appropriately includes implementing adequate privacy policies and security measures to protect it. Doing so prevents accidental exposure and ensures ethical data use. AI technology often uses sensitive data for creating, training and utilizing models.
SAS expert Leonid Batkhan presents the %embed macro function as a way to embed both “foreign” and SAS native code from a file into a SAS program, preventing clutter in your code.
Did you know that over 300 people die daily from drug overdoses in the US? As a pharmacist, I have witnessed the harrowing effects of substance use disorder (SUD) and the resulting opioid crisis on individuals, families and communities. The complexity of addiction Who among us does not know someone
Welcome to the continuation of my series Getting Started with Python Integration to SAS Viya. In this post I'll discuss how to load multiple CSV files into memory as a single table using the loadTable action. Load and prepare data on the CAS server To start, we need to create multiple
Real-world data often exhibits extreme skewness. It is not unusual to have data span many orders of magnitude. Classic examples are the distributions of incomes (impoverished and billionaires) and population sizes (small countries and populous nations). The readership of books and blog posts show a similar distribution, which is sometimes
This year, SAS Innovate in Orlando brought executives and other industry luminaries together to inspire attendees to use analytics to outpace tomorrow. Data and analytics enables you to get to the true value of a human being. Michael Lewis, Author of Moneyball Chief Marketing Officer Jenn Chase, who hosted the event,
As AI rapidly advances over the next several years, I’ve been fortunate to have an active role in helping to guide a responsible path forward when it comes to technology’s impact on our daily lives. Currently, this role includes serving as Vice President for the SAS Data Ethics Practice, as an
The popularity of “greens powders” has exploded over the past few years with companies touting all kinds of health benefits and as an easy way to get your veggie servings in. But is this true? Are there benefits to taking these powders, and are they just like eating vegetables?
Labeling objects in graphs can be difficult. SAS has a long history of providing support for labeling markers in scatter plots and for labeling regions on a map. This article discusses how the SGPLOT procedure decides where to put a label for a polygon. It discusses the advantages and disadvantages
Humanity collectively creates 2.5 quintillion bytes of data daily, presenting incredible opportunities for organizations—especially those who collect it in the cloud. Cloud-based data offers excellent insights for organizations, including a meaningful look at customer needs and operational improvements. However, these benefits come with risks, especially regarding security. According to IBM
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This year six teams from Benelux joined the global competition. These teams took on exciting challenges: from unlocking privacy-sensitive healthcare data with synthetic data to optimizing cheese production and much more! With access to the latest SAS software and SAS mentors, they were building innovative solutions to real-world problems. Two
The shift to cloud computing has dramatically transformed how organizations and businesses store, manage and analyze their data. The benefits of this shift are well-known: Moving to the cloud increases the potential to gain more value their data through faster access, greater scalability and cost-efficiency. All plain sailing, right? Not
When you think about life-saving technology, does a statistical computing environment come to mind? Statistical computing environments (SCE) are critical in accelerating scientific discoveries by enabling researchers to manage, process and analyze data efficiently and compliantly, maintaining the utmost regulatory integrity. As life sciences research generates increasingly large and diverse
SAS supports many ways to compute the rank of a numeric variable and to handle tied values. However, sometimes I need to rank the values in a character categorical variable. For example, the values {"Male", "Female", "Male"} have ranks {2, 1, 2} because, in alphabetical order, "Female" is the first-ranked
"For those not knee-deep in the ModelOps process, the process may seem simple," says Ankit Sinha, Director of Product Management at Experian: "You build the model, deploy the model and reap the benefits." But the process starts to become very complex when you're using multiple database systems and data sources
SAS inventors came together on April 24 at The Umstead Hotel to celebrate something completely unique: ideas. Ideas that became patents. 54 of them, to be exact. During his remarks, CTO Bryan Harris dialed in on just how important new ideas are in our current environment. “When you think about
The pandemic caused public health agencies and life sciences companies to scramble to find effective treatments. Exploring the efficacy of existing drugs to treat COVID, an example of what's known as drug repurposing, was an intense focus for Qais Hatim, a Data Scientist at the US Food and Drug Administration
