SAS Voices
News and views from the people who make SAS a great place to work
Making a difference involves taking meaningful actions that contribute positively to society. Whether it's through volunteering, creating innovative solutions or advocating for important causes, each action advances change. This is the third post in a new series highlighting women from diverse backgrounds as they share their experiences in the tech
International Women’s Day is an opportune moment to celebrate the achievements of women, specifically those combating climate change with technology. Among the inspiring stories is the women-led team of data scientists known as the StaSASticians, winners of the insurance track of the 2023 SAS Hackathon. No beginner’s luck, just accessible
While no one currently alive witnessed the beginnings of the Industrial Revolution in mid-18th century Britain, we’re all now spectators and participants in the AI revolution – AI is accessible and entrenched everywhere. While AI is not new, 2023 ushered in a tsunami of AI innovation with the emergence of
The term “marketing cloud” became popular in the early 2010s with the promise that it could manage and automate marketing operations across numerous channels such as email, mobile, social and web. While marketing clouds have evolved over the years (mainly through acquisition), one thing has remained consistent: They do not
Hackathons continue to serve as bustling hubs where creativity meets problem solving. Among them is the SAS Hackathon, where teams collaborate to find the best solutions to a business or humanitarian challenge using SAS tools. During SAS Innovate in Las Vegas, participants can join the SAS Hackathon boot camps for
Most people associate generative AI (GenAI) with large language models (LLMs). While LLMs focus specifically on generating text, GenAI encompasses a wider range of content generation tasks beyond just language, including images, music and more. Broadly speaking, GenAI uses machine learning algorithms to analyze and learn from existing data sets