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It’s no secret, everyone is talking about generative AI (GenAI). In 2023, funding shot up five times year over year. According to a McKinsey report, “Generative AI could add the equivalent of $2.6 trillion to $4.4 trillion annually… by comparison, the United Kingdom’s entire GDP in 2021 was $3.1 trillion.”

A SAS programmer wanted to simulate samples from a family of Beta(a,b) distributions for a simulation study. (Recall that a Beta random variable is bounded with values in the range [0,1].) She wanted to choose the parameters such that the skewness and kurtosis of the distributions varied over range of

Welcome to the continuation of my series Getting Started with Python Integration to SAS Viya. Given the exciting developments around SAS & Snowflake, I'm eager to demonstrate how to effortlessly connect Snowflake to the massively parallel processing CAS server in SAS Viya with the Python SWAT package. If you're interested

Imagine a not-so-distant future where quantum computing reshapes our approach to solving some of businesses’ and society’s most pressing issues. This isn’t fantasy. Just as nuclear energy, 3D printing and gene therapy transitioned from science fiction to scientific reality, quantum computing is on the brink of becoming the next transformative

Large language models (LLMs), like ChatGPT and Microsoft Copilot, have moved quickly out of the novelty phase into widespread use across industries. Among other examples, these new technologies are being used to generate customer emails, summarize meeting notes, supplement patient care and offer legal analysis. As LLMs proliferate across organizations,

This past International Women's Day, we heard from the author of Leap, Jessica Galica. She encouraged women to take control of their careers and gave them helpful steps to reach new heights in their jobs. At the end of the session, women worldwide had questions for our expert speaker. Continue

Imagine for a moment: You’re a single parent working to make ends meet as you balance rent, bills and the cost of living. Add on losing your job. Then, food assistance and health care access become incredibly important to your family. Millions of households receive social safety benefits. In the

They say trust is a delicate thing. It takes a long time to build trust. It’s easy to lose and hard to get back. Trust is built on consistent and ethical actions. Therefore, we must be intentional when creating AI models. It's crucial to ensure that trustworthiness is embedded

When I was recently introduced to pineberries, I thought they were an under-ripe strawberry, but boy, was I wrong! These blushing berries are surprisingly sweet with a hint of tropical tartness.

As the old saying goes, “You wait ages for a bus and then two [or possibly three]come along at once.” This saying can be updated to reflect life in our increasingly digital world: "You wait ages for a genuine disruptive technology and then two [or possibly three]arrive simultaneously." This phrase

Some nights, as a CIO, I don’t sleep well. The reasons are probably similar to what gives my other CIO peers restless nights, too. Because AI and other technologies continue to advance at a dizzying pace, I’m constantly weighing the opportunities for technology to transform our business against the challenges

Developers and modelers face challenges when finding and validating data, collaborating across groups, and transferring work to an enterprise platform. Using a self-service, on-demand compute environment for data analysis and machine learning models increases productivity and performance while minimizing IT support and cost. In this Q&A, Joe Madden, Senior Product

The days of one-size-fits-all messaging in the pharmaceutical industry are fading. Today's patients and health care providers (HCPs) expect personalized content across a variety of channels. This is where generative AI (GenAI) can really help execute cross-channel marketing. Reaching the right audience with the right message Imagine a world where

The ability of an organization to make informed decisions swiftly and accurately is crucial. Organizations across various industries rely heavily on advanced technologies to navigate complex data and enhance customer experiences. Decision trees and large language models (LLMs) are two technologies that play pivotal roles in empowering organizations to make

Comparing Logistic Regression and Decision Tree - Which of our models is better at predicting our outcome? Learn how to compare models using misclassification, area under the curve (ROC) charts, and lift charts with validation data. In part 6 and part 7 of this series we fit a logistic regression