SAS Voices
News and views from the people who make SAS a great place to workAs millions of people party and eat their way through the season of overindulgence, they should feel confident that indigestion and a few extra pounds should be the only downsides to their feasting. Thanks to countless hours of work behind the scenes by food inspectors and public health officials, diners
Some organizations need advanced analytics that is customized, configured and managed off-site. That’s where the SAS-managed offerings come in. Ever wondered what it takes to get a SAS managed application services (MAS) project implemented and supported continuously? That’s where Jenny Welsh comes in. She’s the Senior Director of Cloud Customer Experience. Jenny and her teams
The significance of upholding trustworthy AI standards transcends multiple industries. Within retail, AI can potentially wield considerable influence in driving customer experiences, optimizing operations, and shaping business strategies. However, it is crucial to ensure that AI technologies are developed and deployed in an ethical manner, prioritizing human well-being and reflecting
If the last few years have taught us anything it’s this: business disruptions are not rare events. They are the norm. Today’s business leaders are grappling with logistics nightmares, economic upheaval, evolving consumer preferences, rapid technological advancements, regulatory changes, and armed conflicts. While it’s not possible to plan for every
The biggest challenges of our time won’t be solved in silos. To tackle complex problems, we’ll need ideas, perspectives, resilience and innovation rising from cross-sector collaboration and partnership. SAS recently hosted the 2023 Concordia United States Summit, a collaborative dialogue among public, private and nonprofit organizations designed to spur activities
AI became the unofficial word of 2023 and the craze is likely to continue into 2024 as new creative applications and uses of AI emerge across industries and sectors. But before organizations invest too many resources into foundational AI models, leadership should ensure that the organization has a firm grasp