The SAS Data Science Blog
Advanced analytics from SAS data scientists
When I first started as a data scientist, there was a gap. I met with dozens of organizations who would invest time and resources into building accurate and tuned models and then ask, “What now?” They had a fantastic model in hand but couldn’t get it into a place and
Small language models like GLiNER provide an efficient, deterministic, and flexible solution for named entity recognition, bridging the gap between traditional NLP and large language models for enterprise information extraction.
Generative AI has seen drastic improvement in image, video, audio, and text generation within the last few years. Humans, on the other hand, are still catching up on determining when it’s appropriate to use Generative AI and how to review the content generated by AI before sharing it with others.
Learn how to save time and money when performing multiple repeated measures analyses with the LOGSELECT and GENSELECT procedures in SAS Viya.
Digital twin technology generates diverse, accurately labeled synthetic datasets in virtual environments, enabling faster, safer, and more reliable AI model development for PPE detection.
SAS' new approach to MRM streamlines your compliance and review process by delivering real-time model reporting and statistical outputs.