As AI agents optimize how they communicate, the shift away from human-readable language underscores why transparency and interpretability are essential for building trust in autonomous systems.
As AI agents gain autonomy and access to sensitive systems, emerging threats like prompt injection worms highlight how human-like security training and governance must evolve to prevent large-scale, opaque cybersecurity breaches driven by agent behavior.
Learn how integrating the Model Context Protocol (MCP) into SAS Retrieval Agent Manager transforms retrieval-augmented generation from a passive information system into a governed, scalable, and action-oriented enterprise AI platform capable of executing real business workflows.
This article was co-written with Sundaresh Sankaran. The Artificial Intelligence (AI) era is here. To prevent harm, ensure proper governance and secure data, we need to trust our AI output. We must demonstrate that it operates in a fair and responsible manner with a high level of efficiency. As builders of
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.
