Sea turtles face growing threats from climate change, pollution and habitat loss – making innovative conservation efforts more urgent than ever. But there's a powerful ally in their corner: AI. We’re pretty familiar with sea turtles here at SAS. But, for those who need a refresher, SAS has been collaborating with
Every organization faces the challenge of improving customer service and delivering experiences that delight customers. Swedbank Insurance, Get’mo and OREA, three teams participating in the SAS Hackathon, are no exception. Each encountered unique obstacles in delivering better experiences for their customers. With creative solutions tailored to their specific needs, these
Developers are trying to help AI to speak all the world’s languages, but it's a complicated journey. While there are around 7,000 languages spoken globally, digital technology primarily revolves around just a few. English dominates over half of all written content online, even though only around 16% of the global
“It was the best of times, it was the worst of times.” This famous line from A Tale of Two Cities also rings true when describing the modern-day tale of marketing and marketing technology managing the customer journey at the dawn of the AI era. Disruption leads to good times
What happens when you combine curiosity, chopsticks and a wobbly Jenga tower? You get a fun (and slightly nerve-wracking) way to talk about SAS Innovate. We wanted to hear how some of our colleagues are contributing to this year’s big event, but we didn’t want to just ask them the
With a packed agenda of sessions, navigating a conference like SAS Innovate can feel overwhelming – especially for first-time attendees. Where to start? What do you mean I'll hear from inspiring and knowledgeable speakers and business leaders? There's hands-on experiences, too? No worries. After combing through the schedule, I’ve identified
Synthetic data has become a valuable resource in data science and machine learning. Superior quality, reliable synthetic data facilitates analysis and iteration at scale while mitigating privacy concerns associated with real data and can fill gaps where real data is scarce. Note, however, that “good” synthetic data is not defined
What if your cloud analytics environment was smart enough to spin up the exact amount of computing resources required for any specific job? What if you had an AI tool that could determine your computing needs for any given analytics project, scale up to run the job and then scale
Having excellent skills in math is an advantage in a world increasingly driven by technological change. It’s a key to opening doors to high-paying careers and opportunities. Research by the Urban Institute shows that students equipped with advanced math skills earn higher wages throughout their lives. With jobs in data
Integrating AI and machine learning into anti-money laundering (AML) and combating the financing of terrorism (CFT) systems has become imperative for financial institutions (FIs) to safeguard their operations, customers and reputation effectively. Sophisticated financial crimes require advanced solutions to detect and prevent fraud. Money laundering, for example, is a financial
