Vous vous rappelez ce premier jour du reste de votre vie professionnelle ? Vous avez fini les cours, les examens, ces années d’organisation libre. Tout d’un coup, vous devez intégrer une entreprise. Comprendre le fonctionnement du monde corporate, avec toutes ses particularités. Cela peut être source d’angoisse – et c’est la
SAS' Scott Pope introduces you to an action set in SAS Viya called dlModelZoo that supports importing PyTorch models.
Insurers, chief financial officers (CFOs) and actuaries will face overwhelming changes and challenges in the year ahead. These include compliance with new regulatory and solvency standards, pricing insurance premiums in line with inflation and other economic factors, addressing climate risk and ESG concerns, and adapting to new technologies. The impact
A journal article listed the mean, median, and size for subgroups of the data, but did not report the overall mean or median. A SAS programmer wondered what, if any, inferences could be made about the overall mean and median for the data. The answer is that you can calculate
In 2023, businesses recognize the need to be resilient. With the global disruptions we’ve faced over the last few years, and continuing disruptions and instabilities, the need for organizational resilience has never been clearer. By building resiliency, organizations can adapt to changing circumstances, maintain stability and minimize damage from unexpected events.
Welcome to the continuation of my series Getting Started with Python Integration to SAS Viya. In this post I'll discuss saving CAS tables to a caslib's data source as a file. This is similar to saving pandas DataFrames using to_ methods. Load and preview the CAS table First, I imported the
In part 1 of this series, we examined our data before building any models. Among the discoveries was a column that seemed to contain a SAS date value. Here, we will discuss what exactly is meant by a 'SAS date', how to format it correctly, and how to create a
A SAS user asked how to interpret a rank-based correlation such as a Spearman correlation or a Kendall correlation. These are alternative measures to the usual Pearson product-moment correlation, which is widely used. The programmer knew that words like "weak," "moderate," and "strong" are sometimes used to describe the Pearson
One of the great things about visiting SAS offices worldwide is the excellent opportunity to meet amazing colleagues, witness their work and learn from them. One of the great perks is getting reading recommendations as if you have a team of expert curators. With the vast amount of data available
We're thrilled to announce that Michael Lewis, best-selling author of The Premonition, The Blind Side, Moneyball, and The Big Short, will join us at SAS Innovate: Orlando for a fireside chat. Michael Lewis has been shedding light on the inner workings of the financial world for decades. From his early work in Liar's Poker to
Welcome to the continuation of my series Getting Started with Python Integration to SAS Viya. In this post I'll discuss how to execute SQL with the Python SWAT package in the distributed CAS server. Prepare and load data to the CAS server I created a Python function named createDemoData to prepare
If you’ve ever contemplated AI's messy reality and political nature, the interplay of technology with society and the impact of AI on democracy, we have a conversation for you. As AI rapidly expands, it has sparked numerous discussions and debates. One theory is that AI is inherently political. This viewpoint
A previous article discusses rank correlation and lists some advantages of using rank correlation. However, the article does not show examples where an analyst might prefer to report the rank correlation instead of the traditional Pearson product-moment correlation. This article provides three examples where the rank correlation is a better
SAS' Chris Hemedinger announces the SAS Customer Recognition Awards, which applaud SAS customers and partners helping us change the world through analytics.
In today's world, data-driven systems make significant decisions across industries. While these systems can bring many benefits, they can also foster distrust by obscuring how decisions are made. Therefore, transparency within data driven systems is critical to responsible innovation. Transparency requires clear, explainable communication. Since transparency helps people understand how
SAS' Brandon Reese the EURO Meets NeurIPS 2022 Vehicle Routing Competition, which combined efforts of operations research and machine learning experts.
Soaring costs are hitting the public sector hard, squeezing budgets and making it difficult to deliver vital services at a time when many are in high demand. Government departments were told they need to ‘identify savings to manage pressures from higher inflation’ in last year’s Autumn Statement – but how
I recently discussed introductory programming with a colleague who teaches Python at a university. He told me about the following introductory programming assignment: Let N be an integer parameter in the range [1, 9]. For each value of N, find all pairs of one-digit positive integers d1 and d2 that
SAS Hackathon team, Data Hack Freaks, created an artificial intelligence (AI) and machine learning (ML) based dynamic pricing approach that allows insurance providers to adjust pricing based on the changing nature of the risk behavior of their customers. This solution has three major components: The loss ratio score, telematics score
At SAS, where you start doesn’t have to be where you end; and there is ample opportunity for internal career mobility. That couldn’t be truer for Brandi Davis, who recently took on a new role that aligned with her skills, strengths and passions. The best part? She didn’t need to
The last few years have been full of disruption. As a leader, there were days when it felt like all I did was find ways to solve the latest unprecedented problem. While things have certainly stabilized since the early days of the pandemic, business hardly feels “as usual.” The recent
Given the headlines each week, it is clear that global disruption and economic volatility are not slowing down. At the same time, information overload is far exceeding human capacity. Despite these pressures, business goals remain the same: improve revenue, increase margins, operate more efficiently and meet customer expectations. So, how do
When your company's resiliency is put to the test, how will you manage? Do you have a game plan that keeps the ball in your hands throughout the game? Or if there's a turnover, can you quickly regain control and execute a strong offense? How much of your resiliency playbook
A previous article discusses the issue of a confounding variable and uses correlation to give an example. The example shows that the correlation between two variables might be affected by a third variable, which is called a confounding variable. The article mentions that you can use the PARTIAL statement in
The SAS Resiliency Rules report explores the global resiliency landscape. This report highlights country-specific findings about the ongoing market challenges, the difference between an importance in attaining resiliency versus perceived resiliency, and the principles companies need to follow to drive business resiliency. Our research defines resiliency as the ability of
When you eat the rainbow, you get a rainbow of nutrients and health benefits. In this occasional series, we’ve been discussing what each color of the rainbow – red, orange, yellow, green, blue and purple – has to offer and how you can incorporate more of these colorful foods into your
A data analyst wanted to estimate the correlation between two variables, but he was concerned about the influence of a confounding variable that is correlated with them. The correlation might affect the apparent relationship between main two variables in the study. A common confounding variable is age because young people
Welcome to the continuation of my series Getting Started with Python Integration to SAS Viya. In this post I'll discuss how to count missing values in a CAS table using the Python SWAT package. Load and prepare data First, I connect my Python client to the distributed CAS server and named
SAS' Ali Dixon and Mary Osborne reveal why a BERT-based classifier is now part of our natural language processing capabilities of SAS Viya.
I can bet we have all experienced nights where we lay in bed and find ourselves unable to fall asleep. By watching this six-minute video with Psychiatrist Dr. Duke-Sui, you can learn one technique to help you get to sleep. Listen and then try it tonight! Wishing you a restorative
