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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.
As we wrap up 2025, subject matter experts across SAS have been thinking ahead to 2026 and how we might see AI evolve in the public sector over the next 12 months. Recently, we released a compilation of public sector AI predictions, including mine: AI-led extraction and entity resolution will
As energy systems become more distributed, digital and dynamic, utilities are increasingly turning to AI and IoT to help modernize operations, improve reliability and accelerate decarbonization. Yet according to the IDC InfoBrief, How AIoT Is Reshaping Industrial Efficiency, Security, and Decision-Making, more than half of AIoT initiatives are still stuck in
