I'm Caslee Sims, writer and editor for SAS Blogs. I gravitate toward spaces of creativity, collaboration and community. Whether it be in front of the camera, producing stories, writing them, sharing or retweeting them, I enjoy the art of storytelling. I share interests in sports, tech, music, pop culture among others.
Give 75 students a similar assignment using generative AI and you might expect reasonably similar results. That wasn't the experience of Mary Osborne, Senior Product Manager for Natural Language Processing at SAS, who also teaches computational linguistics at Duke University. During her presentation at SAS Innovate, Osborne shared how a
Enterprise data has never been more accessible. Organizations can store, process and analyze information across cloud platforms, business applications and analytical environments. Yet having more access to data doesn't necessarily mean having more control over it. That contradiction sits at the center of an emerging AI challenge. SAS data management
For college golfers, it's easy to measure progress. Scores improve, rankings change and tournaments offer a pretty clear picture of where you stand. Figuring out what comes after college isn't always so straightforward. That's part of what makes the SAS Championship HBCU Career Day and Invitational interesting. Student-athletes arrive with
